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Application to terrain modeling and surface geometry analysis", "creators": [ { "creatorType": "author", "firstName": "Helena", "lastName": "Mitášová" }, { "creatorType": "author", "firstName": "Jaroslav", "lastName": "Hofierka" } ], "abstractNote": "Abstract A general approach to the computation of basic topographic parameters independent of the spatial distribution of given elevation data is developed. The approach is based on an interpolation function with regular first and second order derivatives and on application of basic principles of differential geometry. General equations for computation of profile, plan, and tangential curvatures are derived. A new algorithm for construction of slope curves is developed using a combined grid and vector approach. Resulting slope curves better fulfill the condition of orthogonality to contours than standard grid algorithms. Presented methods are applied to topographic analysis of a watershed in central Illinois.", "publicationTitle": "Mathematical Geology", "publisher": "", "place": "", "date": "1993", "volume": "25", "issue": "6", "section": "", "partNumber": "", "partTitle": "", "pages": "657-669", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10/cs2kxd", "citationKey": "mitasovaInterpolationRegularizedSpline1993a", "url": "http://dx.doi.org/10.1007/BF00893172", "accessDate": "2010-07-26T06:43:22Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "Interpolation by regularized spline with tension", "language": "", "libraryCatalog": "SpringerLink", "callNumber": "0053", "rights": "", "extra": "00000", "tags": [ { "tag": "#nosource" } ], "collections": [], "relations": {}, "dateAdded": "2010-07-26T06:43:22Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "Z5JMVUJ7", "version": 2306, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/Z5JMVUJ7", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/Z5JMVUJ7", "type": "text/html" } }, "meta": { "createdByUser": { "id": 7710, "username": "neteler", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/neteler", "type": "text/html" } } }, "lastModifiedByUser": { "id": 135809, "username": "matthiasdaues", "name": "Matthias Daues", "links": { "alternate": { "href": "https://www.zotero.org/matthiasdaues", "type": "text/html" } } }, "creatorSummary": "Karssenberg and De Jong", "parsedDate": "2005-05", "numChildren": 1 }, "data": { "key": "Z5JMVUJ7", "version": 2306, "itemType": "journalArticle", "title": "Dynamic environmental modelling in GIS: 1. Modelling in three spatial dimensions", "creators": [ { "creatorType": "author", "firstName": "D", "lastName": "Karssenberg" }, { "creatorType": "author", "firstName": "K", "lastName": "De Jong" } ], "abstractNote": "Environmental modelling languages are programming languages developed for building computer models simulating environmental processes. They come with database and visualization routines for the data used in the models. Environmental modelling languages provide the possibility to construct dynamic models, also called forward models, which are simulations run forward in time, where the state of the model at time t is defined as a function of its state in a time step preceding t. Nowadays, these modelling languages can deal with simulations in two spatial dimensions, but existing software does not support the construction of models in three dimensions. We describe concepts of an environmental modelling language supporting dynamic model construction in two and three spatial dimensions. The lateral dimension is represented by gridded maps, with a regular discretization, while the vertical dimension is represented by an irregular discretization in voxels. Universal spatial functions are described with these entities of the modelling language as input. Dynamic modelling through time is possible by combining these functions in structured script sections, providing a section, which is executed repetitively, representing the time steps. The concepts of the language are illustrated with two example models, built with a prototype of the language.", "publicationTitle": "International Journal of Geographical Information Science", "publisher": "", "place": "", "date": "May 2005", "volume": "19", "issue": "5", "section": "", "partNumber": "", "partTitle": "", "pages": "579, 559", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10/ckccm2", "citationKey": "karssenbergDynamicEnvironmentalModelling2005", "url": "http://dx.doi.org/10.1080/13658810500032362", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "1365-8816", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "0021", "rights": "", "extra": "00047", "tags": [ { "tag": "#nosource" }, { "tag": "dynamic" }, { "tag": "ecology" }, { "tag": "error-propagation" }, { "tag": "gis" }, { "tag": "modeling" } ], "collections": [], "relations": {}, "dateAdded": "2009-12-09T21:18:24Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "NC6F42TA", "version": 2306, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/NC6F42TA", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/NC6F42TA", "type": "text/html" } }, "meta": { "createdByUser": { "id": 7710, "username": "neteler", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/neteler", "type": "text/html" } } }, "lastModifiedByUser": { "id": 135809, "username": "matthiasdaues", "name": "Matthias Daues", "links": { "alternate": { "href": "https://www.zotero.org/matthiasdaues", "type": "text/html" } } }, "creatorSummary": "Karssenberg and De Jong", "parsedDate": "2005-07", "numChildren": 1 }, "data": { "key": "NC6F42TA", "version": 2306, "itemType": "journalArticle", "title": "Dynamic environmental modelling in GIS: 2. Modelling error propagation", "creators": [ { "creatorType": "author", "firstName": "D", "lastName": "Karssenberg" }, { "creatorType": "author", "firstName": "K", "lastName": "De Jong" } ], "abstractNote": "Environmental modelling languages provide the possibility to construct models in two or three spatial dimensions. These models can be static models, without a time component, or dynamic models. Dynamic models are simulations run forward in time, where the state of the model at time t is defined as a function of its state in a period or time step preceding t . Since inputs and parameters of environmental models are associated with errors, environmental modelling languages need to provide techniques to calculate how these errors propagate to the output(s) of the model. Since these techniques are not yet available, the paper describes concepts for extending an environmental-modelling language with functionality for error-propagation modelling. The approach models errors in inputs and parameters as stochastic variables, while the error in the model outputs is approximated with a Monte Carlo simulation. A modelling language is proposed which combines standard functions in a structured script (program) for building environmental models, and calculation of error propagation in these models. A prototype implementation of the language is used in three example models to illustrate the concepts.", "publicationTitle": "International Journal of Geographical Information Science", "publisher": "", "place": "", "date": "July 2005", "volume": "19", "issue": "6", "section": "", "partNumber": "", "partTitle": "", "pages": "637, 623", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10/d5s86c", "citationKey": "karssenbergDynamicEnvironmentalModelling2005a", "url": "http://dx.doi.org/10.1080/13658810500104799", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "1365-8816", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "0030", "rights": "", "extra": "00057", "tags": [ { "tag": "#nosource" }, { "tag": "dynamic" }, { "tag": "ecology" }, { "tag": "error-propagation" }, { "tag": "gis" }, { "tag": "modeling" } ], "collections": [], "relations": {}, "dateAdded": "2009-12-09T21:18:21Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "944DESNV", "version": 2306, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/944DESNV", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/944DESNV", "type": "text/html" } }, "meta": { "createdByUser": { "id": 7710, "username": "neteler", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/neteler", "type": "text/html" } } }, "lastModifiedByUser": { "id": 135809, "username": "matthiasdaues", "name": "Matthias Daues", "links": { "alternate": { "href": "https://www.zotero.org/matthiasdaues", "type": "text/html" } } }, "creatorSummary": "Kropla", "parsedDate": "2005", "numChildren": 2 }, "data": { "key": "944DESNV", "version": 2306, "itemType": "book", "title": "Beginning MapServer: Open Source GIS Development (Expert's Voice in Open Source)", "creators": [ { "creatorType": "author", "firstName": "Bill", "lastName": "Kropla" } ], "abstractNote": "{\n\nBeginning MapServer: Open Source GIS Development is the first book of its kind. It offers a comprehensive introduction to MapServer, the development platform for integrating mapping technology into Internet applications. You'll learn how to build and extend dynamic applications using popular languages like PHP, Perl, and Python.\n\nAfter a thorough introduction to installation and configuration, you'll uncover basic MapServer topics and examples. You'll also learn about advanced MapServer features, and how to query and incorporate dynamic data into your application. The book culminates with the creation of an actual mapping application.\n}", "series": "", "seriesNumber": "", "volume": "", "numberOfVolumes": "", "edition": "", "date": "2005", "publisher": "Apress", "place": "", "originalDate": "", "originalPublisher": "", "originalPlace": "", "format": "", "numPages": "", "ISBN": "1-59059-490-8", "DOI": "", "citationKey": "kroplaBeginningMapServerOpen2005", "url": "http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&path=ASIN/1590594908", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "0000", "rights": "", "extra": "00000", "tags": [ { "tag": "#nosource" }, { "tag": "gfoss" }, { "tag": "gis" }, { "tag": "mapserver" } ], "collections": [], "relations": { "dc:replaces": "http://zotero.org/groups/683/items/TH26Q72Z", "dc:relation": "http://zotero.org/groups/683/items/7J49BS4N" }, "dateAdded": "2009-12-09T21:09:07Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "G7QV59PD", "version": 2306, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/G7QV59PD", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/G7QV59PD", "type": "text/html" } }, "meta": { "createdByUser": { "id": 7710, "username": "neteler", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/neteler", "type": "text/html" } } }, "lastModifiedByUser": { "id": 135809, "username": "matthiasdaues", "name": "Matthias Daues", "links": { "alternate": { "href": "https://www.zotero.org/matthiasdaues", "type": "text/html" } } }, "creatorSummary": "Mitasova and Mitas", "parsedDate": "1993", "numChildren": 1 }, "data": { "key": "G7QV59PD", "version": 2306, "itemType": "document", "title": "Interpolation by regularized spline with tension: I. Theory and implementation", "creators": [ { "creatorType": "author", "firstName": "H", "lastName": "Mitasova" }, { "creatorType": "author", "firstName": "L", "lastName": "Mitas" } ], "abstractNote": "A general approach to the computation of basic topographic parameters\nindependent of the spatial distribution of given elevation data is developed. The\napproach is based on an interpolation function with regular first and second\norder derivatives and on application of basic principles of differential geometry.\nGeneral equations for computation of profile, plan, and tangential curvatures\nare derived. A new algorithm for construction of slope curves is developed using\na combined grid and vector...", "type": "", "date": "1993", "publisher": "", "place": "", "DOI": "", "citationKey": "mitasovaInterpolationRegularizedSpline1993", "url": "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.4180", "accessDate": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "0230", "rights": "", "extra": "00413", "tags": [ { "tag": "#nosource" }, { "tag": "GRASS GIS" }, { "tag": "grass" }, { "tag": "interpolation" }, { "tag": "splines" } ], "collections": [], "relations": {}, "dateAdded": "2009-12-09T21:08:32Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "MQNV4UQ7", "version": 2304, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/MQNV4UQ7", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/MQNV4UQ7", "type": "text/html" } }, "meta": { "createdByUser": { "id": 8714, "username": "bioshaena", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/bioshaena", "type": "text/html" } } }, "lastModifiedByUser": { "id": 267250, "username": "afrigeri", "name": "Alessandro Frigeri", "links": { "alternate": { "href": "https://www.zotero.org/afrigeri", "type": "text/html" } } }, "creatorSummary": "Herbreteau et al.", "parsedDate": "2007-06", "numChildren": 1 }, "data": { "key": "MQNV4UQ7", "version": 2304, "itemType": "journalArticle", "title": "Thirty years of use and improvement of remote sensing, applied to epidemiology: From early promises to lasting frustration", "creators": [ { "creatorType": "author", "firstName": "V", "lastName": "Herbreteau" }, { "creatorType": "author", "firstName": "G", "lastName": "Salem" }, { "creatorType": "author", "firstName": "M", "lastName": "Souris" }, { "creatorType": "author", "firstName": "J", "lastName": "Hugot" }, { "creatorType": "author", "firstName": "J", "lastName": "Gonzalez" } ], "abstractNote": "Remote sensing, referring to the remote study of objects, was originally developed for Earth observation, through the use of sensors on board planes or satellites. Improvements in the use and accessibility of multi-temporal satellite-derived environmental data have, for 30 years, contributed to a growing use in epidemiology. Despite the potential of remote-sensed images and processing techniques for a better knowledge of disease dynamics, an exhaustive analysis of the bibliography shows a generalized use of pre-processed spatial data and low-cost images, resulting in a limited adaptability when addressing biological questions.", "publicationTitle": "Health & Place", "publisher": "", "place": "", "date": "June 2007", "volume": "13", "issue": "2", "section": "", "partNumber": "", "partTitle": "", "pages": "403, 400", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10/dd5sqn", "citationKey": "herbreteauThirtyYearsUse2007", "url": "http://dx.doi.org/10.1016/j.healthplace.2006.03.003", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "13538292", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "0032", "rights": "", "extra": "00000", "tags": [ { "tag": "#nosource" } ], "collections": [], "relations": {}, "dateAdded": "2009-12-09T21:12:46Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "XIX8DTFD", "version": 2304, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/XIX8DTFD", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/XIX8DTFD", "type": "text/html" } }, "meta": { "createdByUser": { "id": 675, "username": "MTBradley", "name": "Matthew Timothy Bradley", "links": { "alternate": { "href": "https://www.zotero.org/mtbradley", "type": "text/html" } } }, "lastModifiedByUser": { "id": 267250, "username": "afrigeri", "name": "Alessandro Frigeri", "links": { "alternate": { "href": "https://www.zotero.org/afrigeri", "type": "text/html" } } }, "creatorSummary": "Glass et al.", "parsedDate": "1995-07-01", "numChildren": 1 }, "data": { "key": "XIX8DTFD", "version": 2304, "itemType": "journalArticle", "title": "Environmental risk factors for Lyme disease identified with geographic information systems.", "creators": [ { "creatorType": "author", "firstName": "GE", "lastName": "Glass" }, { "creatorType": "author", "firstName": "BS", "lastName": "Schwartz" }, { "creatorType": "author", "firstName": "JM", "lastName": "Morgan" }, { "creatorType": "author", "firstName": "DT", "lastName": "Johnson" }, { "creatorType": "author", "firstName": "PM", "lastName": "Noy" }, { "creatorType": "author", "firstName": "E", "lastName": "Israel" } ], "abstractNote": "OBJECTIVES. A geographic information system was used to identify and locate residential environmental risk factors for Lyme disease. METHODS. Data were obtained for 53 environmental variables at the residences of Lyme disease case patients in Baltimore County from 1989 through 1990 and compared with data for randomly selected addresses. A risk model was generated combining the geographic information system with logistic regression analysis. The model was validated by comparing the distribution of cases in 1991 with another group of randomly selected addresses. RESULTS. In crude analyses, 11 environmental variables were associated with Lyme disease. In adjusted analyses, residence in forested areas (odds ratio [OR] = 3.7, 95% confidence interval [CI] = 1.2, 11.8), on specific soils (OR = 2.1, 95% CI = 1.0, 4.4), and in two regions of the county (OR = 3.5, 95% CI = 1.6, 7.4) (OR = 2.8, 95% CI = 1.0, 7.7) was associated with elevated risk of getting Lyme disease. Residence in highly developed regions was protective (OR = 0.3, 95% CI = 0.1, 1.0). The risk of Lyme disease in 1991 increased with risk categories defined from the 1989 through 1990 data. CONCLUSIONS. Combining a geographic information system with epidemiologic methods can be used to rapidly identify risk factors of zoonotic disease over large areas. 10.2105/AJPH.85.7.944", "publicationTitle": "Americal Journal of Public Health", "publisher": "", "place": "", "date": "July 01, 1995", "volume": "85", "issue": "7", "section": "", "partNumber": "", "partTitle": "", "pages": "948, 944", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10/cqp62w", "citationKey": "glassEnvironmentalRiskFactors1995", "url": "http://dx.doi.org/10.2105/AJPH.85.7.944", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "0090-0036", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "0185", "rights": "", "extra": "00255", "tags": [ { "tag": "#nosource" } ], "collections": [], "relations": {}, "dateAdded": "2009-12-09T21:17:37Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "ZRMX6HCA", "version": 2304, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/ZRMX6HCA", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/ZRMX6HCA", "type": "text/html" } }, "meta": { "createdByUser": { "id": 7710, "username": "neteler", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/neteler", "type": "text/html" } } }, "lastModifiedByUser": { "id": 267250, "username": "afrigeri", "name": "Alessandro Frigeri", "links": { "alternate": { "href": "https://www.zotero.org/afrigeri", "type": "text/html" } } }, "creatorSummary": "Carrera-Hernandez and Gaskin", "parsedDate": "2007-04-07", "numChildren": 3 }, "data": { "key": "ZRMX6HCA", "version": 2304, "itemType": "journalArticle", "title": "Spatio temporal analysis of daily precipitation and temperature in the Basin of Mexico", "creators": [ { "creatorType": "author", "firstName": "J", "lastName": "Carrera-Hernandez" }, { "creatorType": "author", "firstName": "S", "lastName": "Gaskin" } ], "abstractNote": "The spatial distribution of climatological variables such as rainfall and temperature is needed whenever hydrological modelling is undertaken at the watershed scale. These models can be used to simulate hydrological processes at a daily or hourly time step and the interpolation of climatological variables (in particular precipitation) at this time scale poses a particular problem due to its large spatial variation. This work analyzes the temporal variation of both minimum and maximum temperature and rainfall, its correlation with elevation and whether or not this relationship should be used when daily data are interpolated. In order to achieve this, the monthly distribution of these variables is derived from daily interpolations, which is compared to their monthly accumulated value for each climatological station. The interpolation methods used to undertake the analysis were Ordinary Kriging (OK), Kriging with External Drift (KED), Block Kriging with External Drift (BKED), Ordinary Kriging in a local neighborhood (OKl) and Kriging with External Drift in a local neighborhood (KEDl). This analysis used daily climatological data from approximately 200 stations located in the Basin of Mexico for June 1978 and June 1985, from which accumulated monthly data were derived. The results of this analysis show that the interpolation of daily events is improved by the use of elevation as a secondary variable even when these variables show a low correlation.", "publicationTitle": "Journal of Hydrology", "publisher": "", "place": "", "date": "April 07, 2007", "volume": "336", "issue": "3-4", "section": "", "partNumber": "", "partTitle": "", "pages": "249, 231", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "", "citationKey": "carrera-hernandezSpatioTemporalAnalysis2007", "url": "http://dx.doi.org/10.1016/j.jhydrol.2006.12.021", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "00221694", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "0047", "rights": "", "extra": "00114", "tags": [ { "tag": "#nosource" }, { "tag": "climate" }, { "tag": "gis" }, { "tag": "interpolation" }, { "tag": "kriging" }, { "tag": "meteorology" }, { "tag": "precipitation" }, { "tag": "❓ Multiple DOI" } ], "collections": [], "relations": {}, "dateAdded": "2009-12-09T21:14:25Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "WWC62NB7", "version": 2304, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/WWC62NB7", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/WWC62NB7", "type": "text/html" } }, "meta": { "createdByUser": { "id": 7710, "username": "neteler", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/neteler", "type": "text/html" } } }, "lastModifiedByUser": { "id": 267250, "username": "afrigeri", "name": "Alessandro Frigeri", "links": { "alternate": { "href": "https://www.zotero.org/afrigeri", "type": "text/html" } } }, "creatorSummary": "Holt et al.", "parsedDate": "2009-06-28", "numChildren": 1 }, "data": { "key": "WWC62NB7", "version": 2304, "itemType": "journalArticle", "title": "Spatial analysis of plague in California: Niche modeling predictions of the current distribution and potential response to climate change", "creators": [ { "creatorType": "author", "firstName": "Ashley", "lastName": "Holt" }, { "creatorType": "author", "firstName": "Daniel", "lastName": "Salkeld" }, { "creatorType": "author", "firstName": "Curtis", "lastName": "Fritz" }, { "creatorType": "author", "firstName": "James", "lastName": "Tucker" }, { "creatorType": "author", "firstName": "Peng", "lastName": "Gong" } ], "abstractNote": "BACKGROUND:Plague, caused by the bacterium Yersinia pestis, is a public and wildlife health concern in California and the western United States. This study explores the spatial characteristics of positive plague samples in California and tests Maxent, a machine-learning method that can be used to develop niche-based models from presence-only data, for mapping the potential distribution of plague foci. Maxent models were constructed using geocoded seroprevalence data from surveillance of California ground squirrels (Spermophilus beecheyi) as case points and Worldclim bioclimatic data as predictor variables, and compared and validated using area under the receiver operating curve (AUC) statistics. Additionally, model results were compared to locations of positive and negative coyote (Canis latrans) samples, in order to determine the correlation between Maxent model predictions and areas of plague risk as determined via wild carnivore surveillance. RESULTS:Models of plague activity in California ground squirrels, based on recent climate conditions, accurately identified case locations (AUC of 0.913 to 0.948) and were significantly correlated with coyote samples. The final models were used to identify potential plague risk areas based on an ensemble of six future climate scenarios. These models suggest that by 2050, climate conditions may reduce plague risk in the southern parts of California and increase risk along the northern coast and Sierras. CONCLUSIONS:Because different modeling approaches can yield substantially different results, care should be taken when interpreting future model predictions. Nonetheless, niche modeling can be a useful tool for exploring and mapping the potential response of plague activity to climate change. The final models in this study were used to identify potential plague risk areas based on an ensemble of six future climate scenarios, which can help public managers decide where to allocate surveillance resources. In addition, Maxent model results were significantly correlated with coyote samples, indicating that carnivore surveillance programs will continue to be important for tracking the response of plague to future climate conditions.", "publicationTitle": "International Journal of Health Geographics", "publisher": "", "place": "", "date": "June 28, 2009", "volume": "8", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "38", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10/dfcb2k", "citationKey": "holtSpatialAnalysisPlague2009", "url": "http://dx.doi.org/10.1186/1476-072X-8-38", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "1476-072X", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "0016", "rights": "", "extra": "00056", "tags": [ { "tag": "#nosource" }, { "tag": "Spatial" }, { "tag": "climate" }, { "tag": "disease" }, { "tag": "distribution_model" }, { "tag": "gis" }, { "tag": "machine-learning" }, { "tag": "niche" }, { "tag": "presence-only-models" } ], "collections": [], "relations": {}, "dateAdded": "2009-12-09T21:13:39Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "XGHRQIBZ", "version": 2304, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/XGHRQIBZ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/XGHRQIBZ", "type": "text/html" } }, "meta": { "createdByUser": { "id": 7710, "username": "neteler", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/neteler", "type": "text/html" } } }, "lastModifiedByUser": { "id": 267250, "username": "afrigeri", "name": "Alessandro Frigeri", "links": { "alternate": { "href": "https://www.zotero.org/afrigeri", "type": "text/html" } } }, "creatorSummary": "Pfeifer et al.", "parsedDate": "2008", "numChildren": 1 }, "data": { "key": "XGHRQIBZ", "version": 2304, "itemType": "journalArticle", "title": "A cellular automaton framework for infectious disease spread simulation.", "creators": [ { "creatorType": "author", "firstName": "Bernhard", "lastName": "Pfeifer" }, { "creatorType": "author", "firstName": "Karl", "lastName": "Kugler" }, { "creatorType": "author", "firstName": "Maria", "lastName": "Tejada" }, { "creatorType": "author", "firstName": "Christian", "lastName": "Baumgartner" }, { "creatorType": "author", "firstName": "Michael", "lastName": "Seger" }, { "creatorType": "author", "firstName": "Melanie", "lastName": "Osl" }, { "creatorType": "author", "firstName": "Michael", "lastName": "Netzer" }, { "creatorType": "author", "firstName": "Michael", "lastName": "Handler" }, { "creatorType": "author", "firstName": "Andreas", "lastName": "Dander" }, { "creatorType": "author", "firstName": "Manfred", "lastName": "Wurz" }, { "creatorType": "author", "firstName": "Armin", "lastName": "Graber" }, { "creatorType": "author", "firstName": "Bernhard", "lastName": "Tilg" } ], "abstractNote": "In this paper, a cellular automaton framework for processing the spatiotemporal spread of infectious diseases is presented. The developed environment simulates and visualizes how infectious diseases might spread, and hence provides a powerful instrument for health care organizations to generate disease prevention and contingency plans. In this study, the outbreak of an avian flu like virus was modeled in the state of Tyrol, and various scenarios such as quarantine, effect of different medications on viral spread and changes of social behavior were simulated.The proposed framework is implemented using the programming language Java. The set up of the simulation environment requires specification of the disease parameters and the geographical information using a population density colored map, enriched with demographic data.The results of the numerical simulations and the analysis of the computed parameters will be used to get a deeper understanding of how the disease spreading mechanisms work, and how to protect the population from contracting the disease. Strategies for optimization of medical treatment and vaccination regimens will also be investigated using our cellular automaton framework.In this study, six different scenarios were simulated. It showed that geographical barriers may help to slow down the spread of an infectious disease, however, when an aggressive and deadly communicable disease spreads, only quarantine and controlled medical treatment are able to stop the outbreak, if at all.", "publicationTitle": "The open medical informatics journal", "publisher": "", "place": "", "date": "2008", "volume": "2", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "81, 70", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10/bbtsm4", "citationKey": "pfeiferCellularAutomatonFramework2008", "url": "http://dx.doi.org/10.2174/1874431100802010070", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "1874-4311", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "0004", "rights": "", "extra": "00011", "tags": [ { "tag": "#nosource" }, { "tag": "avian_flu" }, { "tag": "cellular_automaton" }, { "tag": "disease" }, { "tag": "gis" }, { "tag": "simulation" } ], "collections": [], "relations": {}, "dateAdded": "2009-12-09T21:12:01Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "WTMMW72A", "version": 2304, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/WTMMW72A", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/WTMMW72A", "type": "text/html" } }, "meta": { "createdByUser": { "id": 7710, "username": "neteler", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/neteler", "type": "text/html" } } }, "lastModifiedByUser": { "id": 267250, "username": "afrigeri", "name": "Alessandro Frigeri", "links": { "alternate": { "href": "https://www.zotero.org/afrigeri", "type": "text/html" } } }, "creatorSummary": "Johnson et al.", "parsedDate": "2009-10-16", "numChildren": 3 }, "data": { "key": "WTMMW72A", "version": 2304, "itemType": "journalArticle", "title": "Socioeconomic indicators of heat-related health risk supplemented with remotely sensed data", "creators": [ { "creatorType": "author", "firstName": "Daniel", "lastName": "Johnson" }, { "creatorType": "author", "firstName": "Jeffrey", "lastName": "Wilson" }, { "creatorType": "author", "firstName": "George", "lastName": "Luber" } ], "abstractNote": "BACKGROUND:Extreme heat events are the number one cause of weather related fatalities in the United States. The current system of alert for extreme heat events does not take into account intra-urban spatial variation in risk. The purpose of this study is to evaluate a potential method to improve spatial delineation of risk from extreme heat events in urban environments by integrating sociodemographic risk factors with estimates of land surface temperature derived from thermal remote sensing data. RESULTS:Comparison of logistic regression models indicates that supplementing known sociodemographic risk factors with remote sensing estimates of land surface temperature improves the delineation of intra-urban variations in risk from extreme heat events. CONCLUSIONS:Thermal remote sensing data can be utilized to improve understanding of intra-urban variations in risk from extreme heat. The refinement of current risk assessment systems could increase the likelihood of survival during extreme heat events and assist emergency personnel in the delivery of vital resources during such disasters.", "publicationTitle": "International Journal of Health Geographics", "publisher": "", "place": "", "date": "October 16, 2009", "volume": "8", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "57", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "", "citationKey": "johnsonSocioeconomicIndicatorsHeatrelated2009", "url": "http://dx.doi.org/10.1186/1476-072X-8-57", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "1476-072X", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "0020", "rights": "", "extra": "00072", "tags": [ { "tag": "#nosource" }, { "tag": "disease" }, { "tag": "gis" }, { "tag": "health" }, { "tag": "lst" }, { "tag": "remote-sensing" }, { "tag": "socioeconomic" }, { "tag": "❓ Multiple DOI" } ], "collections": [], "relations": {}, "dateAdded": "2009-12-09T21:11:32Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "TT7S88XZ", "version": 2303, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/TT7S88XZ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/TT7S88XZ", "type": "text/html" } }, "meta": { "createdByUser": { "id": 7710, "username": "neteler", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/neteler", "type": "text/html" } } }, "lastModifiedByUser": { "id": 267250, "username": "afrigeri", "name": "Alessandro Frigeri", "links": { "alternate": { "href": "https://www.zotero.org/afrigeri", "type": "text/html" } } }, "creatorSummary": "Ehlschlaeger et al.", "parsedDate": "1997-05", "numChildren": 2 }, "data": { "key": "TT7S88XZ", "version": 2303, "itemType": "journalArticle", "title": "Visualizing spatial data uncertainty using animation", "creators": [ { "creatorType": "author", "firstName": "Charles R.", "lastName": "Ehlschlaeger" }, { "creatorType": "author", "firstName": "Ashton M.", "lastName": "Shortridge" }, { "creatorType": "author", "firstName": "Michael F.", "lastName": "Goodchild" } ], "abstractNote": "This paper examines methodologies for dynamically displaying information about uncertainty. Modeling uncertainty in elevation data results in the generation of dozens or hundreds of realizations of the elevation surface. Producing animations of these surfaces is an approach to exploratory data visualization that may assist the researcher in understanding the effect of uncertainty on spatial applications as well as in communicating the results of the research to a wider audience. A nonlinear method for interpolation between the surface realizations is introduced which allows for smooth animation while maintaining the surface characteristics prescribed by the uncertainty model.", "publicationTitle": "Computers & Geosciences", "publisher": "", "place": "", "date": "May 1997", "volume": "23", "issue": "4", "section": "", "partNumber": "", "partTitle": "", "pages": "387-395", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10/d9d9x6", "citationKey": "ehlschlaegerVisualizingSpatialData1997", "url": "http://www.sciencedirect.com/science/article/pii/S0098300497000058", "accessDate": "2011-10-07T19:36:57Z", "PMID": "", "PMCID": "", "ISSN": "0098-3004", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "0124", "rights": "", "extra": "00167", "tags": [ { "tag": "#nosource" }, { "tag": "Animation", "type": 1 }, { "tag": "Digital elevation model", "type": 1 }, { "tag": "Optimal route", "type": 1 }, { "tag": "Random fields", "type": 1 }, { "tag": "Spatial data", "type": 1 }, { "tag": "Uncertainty", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2011-10-07T19:36:57Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "SIID43HP", "version": 2303, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/SIID43HP", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/SIID43HP", "type": "text/html" } }, "meta": { "createdByUser": { "id": 7710, "username": "neteler", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/neteler", "type": "text/html" } } }, "lastModifiedByUser": { "id": 267250, "username": "afrigeri", "name": "Alessandro Frigeri", "links": { "alternate": { "href": "https://www.zotero.org/afrigeri", "type": "text/html" } } }, "creatorSummary": "Bek and Ježek", "parsedDate": "2011", "numChildren": 1 }, "data": { "key": "SIID43HP", "version": 2303, "itemType": "journalArticle", "title": "Optimization of interpolation parameters when deriving DEM from contour lines", "creators": [ { "creatorType": "author", "firstName": "Stanislav", "lastName": "Bek" }, { "creatorType": "author", "firstName": "Josef", "lastName": "Ježek" } ], "abstractNote": "", "publicationTitle": "Stochastic Environmental Research and Risk Assessment", "publisher": "", "place": "", "date": "5/2011", "volume": "", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Stoch Environ Res Risk Assess", "DOI": "10/bh8nh4", "citationKey": "bekOptimizationInterpolationParameters2011", "url": "http://www.springerlink.com/content/nq2n2286q0p33752/", "accessDate": "2011-05-05T06:27:19Z", "PMID": "", "PMCID": "", "ISSN": "1436-3240", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "CrossRef", "callNumber": "0001", "rights": "", "extra": "00005", "tags": [ { "tag": "#nosource" } ], "collections": [], "relations": {}, "dateAdded": "2011-05-05T06:27:19Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "WCUBRZF9", "version": 2303, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/WCUBRZF9", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/WCUBRZF9", "type": "text/html" } }, "meta": { "createdByUser": { "id": 675, "username": "MTBradley", "name": "Matthew Timothy Bradley", "links": { "alternate": { "href": "https://www.zotero.org/mtbradley", "type": "text/html" } } }, "lastModifiedByUser": { "id": 267250, "username": "afrigeri", "name": "Alessandro Frigeri", "links": { "alternate": { "href": "https://www.zotero.org/afrigeri", "type": "text/html" } } }, "creatorSummary": "Estrada-Peña", "parsedDate": "2008-12-01", "numChildren": 1 }, "data": { "key": "WCUBRZF9", "version": 2303, "itemType": "journalArticle", "title": "Climate, niche, ticks, and models: what they are and how we should interpret them.", "creators": [ { "creatorType": "author", "firstName": "Agustín", "lastName": "Estrada-Peña" } ], "abstractNote": "Ticks spend most of their life cycle in the environment, and all tick life cycle stages are dependent on a complex combination of climate variables. Furthermore, host availability and vegetation significantly modulate the dynamics of tick populations. Tick recruitment is dependent on successful reproduction, which in turn requires sufficient adult tick densities, available blood meal sources, and egg survival. Though many animals can serve as hosts, there are several determinants of host suitability. For example, host availability in time and space is an important determinant of tick bionomics. Shelter and protection from environmental extremes are critical to tick survival. Questing and diapausing ticks are vulnerable to extremes of temperature and humidity. There are concerns about how predicted climate change may alter several critical features of host-parasite relationships of ticks, the potential for invasion of new areas or alteration of patterns of pathogen transmission in particular. However, modeling approaches that relate known occurrences of tick species to climate (and/or landscape) features and predict geographic occurrences are not completely fulfilling our needs to understand how the \"tick panorama\" can change as a consequence of these climate trends. This is a short review about the concept of ecological niche as applied to ticks, as well as some raised concerns about its evaluation and strict definition, and its usefulness to map geographical suitability for ticks. Comments about how climate, hosts, and landscape configuration are briefly discussed regarding its applicability to tick mapping and with reference about their impact on tick abundance. I will further comment on already published observations about observed changes in the geographical range of ticks in parts of Europe.", "publicationTitle": "Parasitology research", "publisher": "", "place": "", "date": "December 01, 2008", "volume": "103", "issue": "S1", "section": "", "partNumber": "", "partTitle": "", "pages": "95, 87", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10/cpcm8r", "citationKey": "estrada-penaClimateNicheTicks2008", "url": "http://dx.doi.org/10.1007/s00436-008-1056-7", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "0932-0113", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "0014", "rights": "", "extra": "00056", "tags": [ { "tag": "#nosource" } ], "collections": [], "relations": {}, "dateAdded": "2009-12-09T21:13:02Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "WFS8XAXB", "version": 2303, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/WFS8XAXB", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/WFS8XAXB", "type": "text/html" } }, "meta": { "createdByUser": { "id": 7710, "username": "neteler", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/neteler", "type": "text/html" } } }, "lastModifiedByUser": { "id": 267250, "username": "afrigeri", "name": "Alessandro Frigeri", "links": { "alternate": { "href": "https://www.zotero.org/afrigeri", "type": "text/html" } } }, "creatorSummary": "Garzon et al.", "parsedDate": "2006", "numChildren": 1 }, "data": { "key": "WFS8XAXB", "version": 2303, "itemType": "journalArticle", "title": "Predicting habitat suitability with machine learning models: The potential area of Pinus sylvestris L. in the Iberian Peninsula", "creators": [ { "creatorType": "author", "firstName": "Marta", "lastName": "Garzon" }, { "creatorType": "author", "firstName": "Radim", "lastName": "Blazek" }, { "creatorType": "author", "firstName": "Markus", "lastName": "Neteler" }, { "creatorType": "author", "firstName": "Rut", "lastName": "Dios" }, { "creatorType": "author", "firstName": "Helios", "lastName": "Ollero" }, { "creatorType": "author", "firstName": "Cesare", "lastName": "Furlanello" } ], "abstractNote": "We present a modelling framework for predicting forest areas. The framework is obtained by integrating a machine learning software suite within the GRASS Geographical Information System (GIS) and by providing additional methods for predictive habitat modelling. Three machine learning techniques (Tree-Based Classification, Neural Networks and Random Forest) are available in parallel for modelling from climatic and topographic variables. Model evaluation and parameter selection are measured by sensitivity-specificity ROC analysis, while the final presence and absence maps are obtained through maximisation of the kappa statistic. The modelling framework is applied at a resolution of 1 km with Iberian subpopulations of Pinus sylvestris L. forests. For this data set, the most accurate algorithm is Breiman's random forest, an ensemble method which provides automatic combination of tree-classifiers trained on bootstrapped subsamples and randomised variable sets. All models show a potential area of P. sylvestris for the Iberian Peninsula which is larger than the present one, a result corroborated by regional pollen analyses.", "publicationTitle": "Ecological Modelling", "publisher": "", "place": "", "date": "2006", "volume": "197", "issue": "3-4", "section": "", "partNumber": "", "partTitle": "", "pages": "383-393", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10/dfp2sk", "citationKey": "garzonPredictingHabitatSuitability2006", "url": "http://dx.doi.org/10.1016/j.ecolmodel.2006.03.015", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "0053", "rights": "", "extra": "00108", "tags": [ { "tag": "#nosource" }, { "tag": "ecology" }, { "tag": "gis" }, { "tag": "machine-learning" }, { "tag": "presence-absence-models" }, { "tag": "randomforest" }, { "tag": "roc" } ], "collections": [], "relations": {}, "dateAdded": "2009-12-09T21:17:20Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "T3PPHSEK", "version": 2303, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/T3PPHSEK", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/T3PPHSEK", "type": "text/html" } }, "meta": { "createdByUser": { "id": 7710, "username": "neteler", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/neteler", "type": "text/html" } } }, "lastModifiedByUser": { "id": 267250, "username": "afrigeri", "name": "Alessandro Frigeri", "links": { "alternate": { "href": "https://www.zotero.org/afrigeri", "type": "text/html" } } }, "creatorSummary": "Curtin", "parsedDate": "2007-04", "numChildren": 1 }, "data": { "key": "T3PPHSEK", "version": 2303, "itemType": "journalArticle", "title": "Network Analysis in Geographic Information Science: Review, Assessment, and Projections", "creators": [ { "creatorType": "author", "firstName": "Kevin", "lastName": "Curtin" } ], "abstractNote": "Network data structures were one of the earliest representations in geographic information systems (GIS), and network analysis remains one of the most significant and persistent research and application areas in geographic information science (GIScience). Network analysis has a strong theoretical basis in the mathematical disciplines of graph theory and topology, and it is the topological relationships inherent in networks that led to revolutionary advances in GIS data structures. Networks can represent an alternative datum for geo-location in the context of linear referencing and support a set of tools for graphical display known as dynamic segmentation. Many network location problems are among the most difficult to solve in terms of their combinatorial complexity and, therefore, provide both a challenge and an opportunity for GIScience researchers. Because elements of network analysis appear in a wide range of academic disciplines—from physics, to sociology, to neurobiology—there are ample opportunities for interdisciplinary investigations of emerging research topics.", "publicationTitle": "Cartography and Geographic Information Science", "publisher": "", "place": "", "date": "April 2007", "volume": "34", "issue": "2", "section": "", "partNumber": "", "partTitle": "", "pages": "111, 103", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10/dstdrc", "citationKey": "curtinNetworkAnalysisGeographic2007", "url": "http://www.ingentaconnect.com/content/acsm/cagis/2007/00000034/00000002/art00003", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "1523-0406", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "0013", "rights": "", "extra": "00062", "tags": [ { "tag": "#nosource" }, { "tag": "gis" }, { "tag": "network" } ], "collections": [], "relations": {}, "dateAdded": "2009-12-09T21:16:57Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "UVHWPTJI", "version": 2303, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/UVHWPTJI", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/UVHWPTJI", "type": "text/html" } }, "meta": { "createdByUser": { "id": 7710, "username": "neteler", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/neteler", "type": "text/html" } } }, "lastModifiedByUser": { "id": 267250, "username": "afrigeri", "name": "Alessandro Frigeri", "links": { "alternate": { "href": "https://www.zotero.org/afrigeri", "type": "text/html" } } }, "creatorSummary": "Mörner et al.", "parsedDate": "2002-04", "numChildren": 1 }, "data": { "key": "UVHWPTJI", "version": 2303, "itemType": "journalArticle", "title": "Surveillance and monitoring of wildlife diseases.", "creators": [ { "creatorType": "author", "firstName": "T", "lastName": "Mörner" }, { "creatorType": "author", "firstName": "DL", "lastName": "Obendorf" }, { "creatorType": "author", "firstName": "M", "lastName": "Artois" }, { "creatorType": "author", "firstName": "MH", "lastName": "Woodford" } ], "abstractNote": "It is now recognised that those countries which conduct disease surveillance of their wild animal populations are more likely to detect the presence of infectious and zoonotic diseases and to swiftly adopt counter measures. The surveillance and monitoring of disease outbreaks in wildlife populations are particularly relevant in these days of rapid human and animal translocation, when the contact between wild and domestic animals is close and the threat of a bioterrorist attack is very real. The authors describe the problems inherent in wildlife disease surveillance and stress the importance of the establishment of national strategies for disease detection. The various sampling methods employed for monitoring outbreaks of disease and mortality in wildlife populations are discussed and their strengths and weaknesses described. A major advantage of an efficient disease monitoring programme for wildlife is the early detection of new and 'emerging' diseases, some of which may have serious zoonotic and economic implications. The authors conclude that wildlife disease monitoring programmes that are integrated within national animal health surveillance infrastructures should have the capacity to respond promptly to the detection of unusual wildlife mortality and to institute epizootiological research into new and emerging wildlife diseases.", "publicationTitle": "Rev Sci Tech", "publisher": "", "place": "", "date": "April 2002", "volume": "21", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "76, 67", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10/gf5m97", "citationKey": "mornerSurveillanceMonitoringWildlife2002", "url": "http://view.ncbi.nlm.nih.gov/pubmed/11974631", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "0253-1933", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "0042", "rights": "", "extra": "00000", "tags": [ { "tag": "#nosource" }, { "tag": "disease" }, { "tag": "gis" }, { "tag": "surveillance" }, { "tag": "wildlife" } ], "collections": [], "relations": {}, "dateAdded": "2009-12-09T21:16:28Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "TJJBACK7", "version": 2303, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/TJJBACK7", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/TJJBACK7", "type": "text/html" } }, "meta": { "createdByUser": { "id": 7710, "username": "neteler", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/neteler", "type": "text/html" } } }, "lastModifiedByUser": { "id": 267250, "username": "afrigeri", "name": "Alessandro Frigeri", "links": { "alternate": { "href": "https://www.zotero.org/afrigeri", "type": "text/html" } } }, "creatorSummary": "Pohl and Van Genderen", "parsedDate": "1998", "numChildren": 1 }, "data": { "key": "TJJBACK7", "version": 2303, "itemType": "journalArticle", "title": "Multisensor image fusion in remote sensing: concepts, methods and applications", "creators": [ { "creatorType": "author", "firstName": "C", "lastName": "Pohl" }, { "creatorType": "author", "firstName": "JL", "lastName": "Van Genderen" } ], "abstractNote": "With the availability of multisensor, multitemporal, multiresolution and multifrequency image data from operational Earth observation satellites the fusion of digital image data has become a valuable tool in remote sensing image evaluation. Digital image fusion is a relatively new research field at the leading edge of available technology. It forms a rapidly developing area of research in remote sensing. This review paper describes and explains mainly pixel based image fusion of Earth observation satellite data as a contribution to multisensor integration oriented data processing.", "publicationTitle": "International Journal of Remote Sensing", "publisher": "", "place": "", "date": "1998", "volume": "19", "issue": "5", "section": "", "partNumber": "", "partTitle": "", "pages": "823-854", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10/ddxkbm", "citationKey": "pohlMultisensorImageFusion1998", "url": "http://dx.doi.org/10.1080/014311698215748", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "1155", "rights": "", "extra": "02208", "tags": [ { "tag": "#nosource" }, { "tag": "fusion" }, { "tag": "gis" }, { "tag": "image" }, { "tag": "remote-sensing" } ], "collections": [], "relations": {}, "dateAdded": "2009-12-09T21:16:21Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "T6XDGPGH", "version": 2303, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/T6XDGPGH", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/T6XDGPGH", "type": "text/html" } }, "meta": { "createdByUser": { "id": 7710, "username": "neteler", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/neteler", "type": "text/html" } } }, "lastModifiedByUser": { "id": 267250, "username": "afrigeri", "name": "Alessandro Frigeri", "links": { "alternate": { "href": "https://www.zotero.org/afrigeri", "type": "text/html" } } }, "creatorSummary": "Kobayashi et al.", "parsedDate": "2002-01", "numChildren": 1 }, "data": { "key": "T6XDGPGH", "version": 2303, "itemType": "journalArticle", "title": "Analysis of northern distribution of Aedes albopictus (Diptera: Culicidae) in Japan by geographical information system.", "creators": [ { "creatorType": "author", "firstName": "M", "lastName": "Kobayashi" }, { "creatorType": "author", "firstName": "N", "lastName": "Nihei" }, { "creatorType": "author", "firstName": "T", "lastName": "Kurihara" } ], "abstractNote": "Aedes albopictus (Skuse), a mosquito vector of the dengue fever virus, is prevalent in Japan, distributed widely in Honshu Island with its northern limits between latitude 38 degrees to 40 degrees north. The factors affecting distribution of the species in the northern part of Japan were studied using the geographical information system (GIS). During 1998-2000, larval surveillance was carried out in 26 urban and rural areas in the Tohoku district, in the northern part of Honshu Island, by collecting larvae from artificial and natural habitats. Climatological analysis, using the GIS, showed that the following conditions accounted for the current distribution of Ae. albopictus: an annual mean temperature higher than 11 degrees C and a mean temperature of the coldest month, January, higher than -2 degrees C. A period with temperature above 11 degrees C in the confirmed area of the mosquito successively continues for more than 186 d per year. The accumulated temperature calculated from a temperature of 11 degrees C, which may be close to the developmental zero of Ae. albopictus, was over 1,350 degree-days. The relationship between the beginning of short-daylength, inducing egg diapause, and the monthly mean temperature during September and October necessary for successful larval development in the Tohoku district is also discussed. We also show the relationship between the current distribution of Ae. albopictus and the annual mean temperature in the United States. From these results it is predicted that Ae. albpictus will be established in some cities in northeast United States.", "publicationTitle": "Journal of medical entomology", "publisher": "", "place": "", "date": "January 2002", "volume": "39", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "11, 4", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10/bxkr9p", "citationKey": "kobayashiAnalysisNorthernDistribution2002", "url": "http://view.ncbi.nlm.nih.gov/pubmed/11931270", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "0022-2585", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "0047", "rights": "", "extra": "00118", "tags": [ { "tag": "#nosource" }, { "tag": "aedes" }, { "tag": "distribution_model" }, { "tag": "gdd" }, { "tag": "gis" }, { "tag": "habitat" }, { "tag": "precipitation" }, { "tag": "temperature" } ], "collections": [], "relations": {}, "dateAdded": "2009-12-09T21:15:51Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "TB6RQTDC", "version": 2303, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/TB6RQTDC", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/TB6RQTDC", "type": "text/html" } }, "meta": { "createdByUser": { "id": 7710, "username": "neteler", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/neteler", "type": "text/html" } } }, "lastModifiedByUser": { "id": 267250, "username": "afrigeri", "name": "Alessandro Frigeri", "links": { "alternate": { "href": "https://www.zotero.org/afrigeri", "type": "text/html" } } }, "creatorSummary": "Britch et al.", "parsedDate": "2008-03", "numChildren": 1 }, "data": { "key": "TB6RQTDC", "version": 2303, "itemType": "journalArticle", "title": "Long-term surveillance data and patterns of invasion by Aedes albopictus in Florida.", "creators": [ { "creatorType": "author", "firstName": "SC", "lastName": "Britch" }, { "creatorType": "author", "firstName": "KJ", "lastName": "Linthicum" }, { "creatorType": "author", "firstName": "A", "lastName": "Anyamba" }, { "creatorType": "author", "firstName": "CJ", "lastName": "Tucker" }, { "creatorType": "author", "firstName": "EW", "lastName": "Pak" } ], "abstractNote": "We used geographic information system (GIS) and long-term mosquito surveillance data from Lake, Pasco, Manatee, and Sarasota Counties, FL, to look at patterns of invasion by Aedes albopictus and concurrent changes in resident Ae. aegypti. We investigated environmental factors associated with population changes in these species with the use of satellite climate data. Aedes aegypti densities attenuated rapidly following the arrival of Ae. albopictus in most counties, yet both species persisted in equilibrium in Manatee County. We discuss the relative importance of rainfall, habitat, and proximity to urban areas in the population dynamics of these species in sympatry.", "publicationTitle": "Journal of the American Mosquito Control Association", "publisher": "", "place": "", "date": "March 2008", "volume": "24", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "120, 115", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10/dn56sv", "citationKey": "britchLongtermSurveillanceData2008", "url": "http://view.ncbi.nlm.nih.gov/pubmed/18437824", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "8756-971X", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "0005", "rights": "", "extra": "00021", "tags": [ { "tag": "#nosource" }, { "tag": "aedes" }, { "tag": "gis" }, { "tag": "ndvi" }, { "tag": "remote-sensing" }, { "tag": "surveillance" } ], "collections": [], "relations": {}, "dateAdded": "2009-12-09T21:15:29Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "T4JXWXIN", "version": 2303, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/T4JXWXIN", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/T4JXWXIN", "type": "text/html" } }, "meta": { "createdByUser": { "id": 7710, "username": "neteler", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/neteler", "type": "text/html" } } }, "lastModifiedByUser": { "id": 267250, "username": "afrigeri", "name": "Alessandro Frigeri", "links": { "alternate": { "href": "https://www.zotero.org/afrigeri", "type": "text/html" } } }, "creatorSummary": "Lefsky et al.", "parsedDate": "2002-01", "numChildren": 1 }, "data": { "key": "T4JXWXIN", "version": 2303, "itemType": "journalArticle", "title": "Lidar Remote Sensing for Ecosystem Studies", "creators": [ { "creatorType": "author", "firstName": "MA", "lastName": "Lefsky" }, { "creatorType": "author", "firstName": "WB", "lastName": "Cohen" }, { "creatorType": "author", "firstName": "GG", "lastName": "Parker" }, { "creatorType": "author", "firstName": "DJ", "lastName": "Harding" } ], "abstractNote": "Remote sensing has facilitated extraordinary advances in the modeling, mapping, and understanding of ecosystems. Typical applications of remote sensing involve either images from passive optical systems, such as aerial photography and Landsat Thematic Mapper (Goward and Williams 1997), or to a lesser degree, active radar sensors\nsuch as RADARSAT (Waring et al. 1995). These types of sensors have proven to be satisfactory for many ecological applications, such as mapping land cover into broad classes and, in some biomes, estimating aboveground biomass and leaf area index (LAI). Moreover, they enable researchers to analyze the spatial pattern of these images.", "publicationTitle": "BioScience", "publisher": "", "place": "", "date": "January 2002", "volume": "", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "30, 19", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10/dxjt8f", "citationKey": "lefskyLidarRemoteSensing2002", "url": "http://www.bioone.org/doi/abs/10.1641/0006-3568%282002%29052%5B0019:LRSFES%5D2.0.CO%3B2", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "0006-3568", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "0521", "rights": "", "extra": "01211", "tags": [ { "tag": "#nosource" }, { "tag": "ecology" }, { "tag": "gis" }, { "tag": "lidar" } ], "collections": [], "relations": {}, "dateAdded": "2009-12-09T21:14:47Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "KVVD2C47", "version": 2302, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/KVVD2C47", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/KVVD2C47", "type": "text/html" } }, "meta": { "createdByUser": { "id": 7710, "username": "neteler", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/neteler", "type": "text/html" } } }, "lastModifiedByUser": { "id": 267250, "username": "afrigeri", "name": "Alessandro Frigeri", "links": { "alternate": { "href": "https://www.zotero.org/afrigeri", "type": "text/html" } } }, "creatorSummary": "Laliberte and Rango", "parsedDate": "2011-01-01", "numChildren": 2 }, "data": { "key": "KVVD2C47", "version": 2302, "itemType": "journalArticle", "title": "Image Processing and Classification Procedures for Analysis of Sub-decimeter Imagery Acquired with an Unmanned Aircraft over Arid Rangelands", "creators": [ { "creatorType": "author", "firstName": "Andrea", "lastName": "Laliberte" }, { "creatorType": "author", "firstName": "Albert", "lastName": "Rango" } ], "abstractNote": "Unmanned aerial systems (UAS) have great potential as a platform for acquiring very high resolution aerial imagery for vegetation mapping. However, image processing and classification techniques require adaptation to images obtained with low-cost digital cameras. We developed and evaluated an image processing workflow that included the integration of resolution-appropriate field sampling, feature selection, and object-based image analysis for the purpose of classifying rangeland vegetation from a five-centimeter-resolution UAS image mosaic. Classification tree analysis was used to determine the optimal spectral, spatial, and contextual features. Segmentation and classification rule sets were developed on a test plot and were applied to the remaining study area, resulting in an overall classification accuracy of 78% at the species level and 81% at the structure-group level. The image processing approach provides a roadmap for deriving quality vegetation classification products from UAS imagery with very high spatial, but low spectral resolution.", "publicationTitle": "GIScience & Remote Sensing", "publisher": "", "place": "", "date": "January 01, 2011", "volume": "48", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "4-23", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10/fj4bbd", "citationKey": "laliberteImageProcessingClassification2011", "url": "http://dx.doi.org/10.2747/1548-1603.48.1.4", "accessDate": "2012-01-14T14:32:31Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "MetaPress", "callNumber": "0003", "rights": "", "extra": "00047", "tags": [ { "tag": "#nosource" } ], "collections": [], "relations": {}, "dateAdded": "2012-01-14T14:32:31Z", "dateModified": "2026-02-16T09:49:10Z" } }, { "key": "SGKCEQQP", "version": 2302, "library": { "type": "group", "id": 683, "name": "GIS", "links": { "alternate": { "href": "https://www.zotero.org/groups/gis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/683/items/SGKCEQQP", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/gis/items/SGKCEQQP", "type": "text/html" } }, "meta": { "createdByUser": { "id": 7710, "username": "neteler", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/neteler", "type": "text/html" } } }, "lastModifiedByUser": { "id": 267250, "username": "afrigeri", "name": "Alessandro Frigeri", "links": { "alternate": { "href": "https://www.zotero.org/afrigeri", "type": "text/html" } } }, "creatorSummary": "Ortigosa et al.", "parsedDate": "2000-01", "numChildren": 2 }, "data": { "key": "SGKCEQQP", "version": 2302, "itemType": "journalArticle", "title": "VVF: integrating modelling and GIS in a software tool for habitat suitability assessment", "creators": [ { "creatorType": "author", "firstName": "G.Ranci", "lastName": "Ortigosa" }, { "creatorType": "author", "firstName": "G.A", "lastName": "De Leo" }, { "creatorType": "author", "firstName": "M", "lastName": "Gatto" } ], "abstractNote": "A computer program, VVF, has been developed to assess the suitability of a territory as habitat for a species. It integrates several types of Habitat Suitability models into a Geographical Information System. In addition to standard GIS functions, VVF allows a user to create, modify and store new Habitat Suitability models for different species, to create Habitat Suitability maps by running Habitat Suitability models for specific areas, and to process these maps. The program requires only basic GIS knowledge and is very flexible, so as to guarantee a broad applicability. VVF is aimed at assisting public decision-makers and conservation biologists to assess the viability of endangered and threatened species, to evaluate policies and plans for wildlife management, as well as species translocations, reserve design and habitat protection. VVF can also be used in Environmental Impact Assessment. In this paper, VVF is demonstrated with an application for Ibex.", "publicationTitle": "Environmental Modelling & Software", "publisher": "", "place": "", "date": "January 2000", "volume": "15", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "1-12", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10/d2v249", "citationKey": "ortigosaVVFIntegratingModelling2000", "url": "http://www.sciencedirect.com/science/article/pii/S1364815299000298", "accessDate": "2011-11-15T12:58:08Z", "PMID": "", "PMCID": "", "ISSN": "1364-8152", "archive": "", "archiveLocation": "", "shortTitle": "VVF", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "0037", "rights": "", "extra": "00061", "tags": [ { "tag": "#nosource" }, { "tag": "Geographical information system", "type": 1 }, { "tag": "Habitat suitability map", "type": 1 }, { "tag": "Habitat suitability model", "type": 1 }, { "tag": "Wildlife management", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2011-11-15T12:58:08Z", "dateModified": "2026-02-16T09:49:10Z" } } ]