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Although, the combination of Principal Component Analysis (PCA) and visual methods is a common approach to the analysis of high-dimensional datasets, it is mostly limited to a pure preprocessing step for dimension reduction. In this paper we will discuss, how PCA results can be used to control all steps of the visualization pipeline to generate more effective visual representations, and thus, a higher degree of understanding of the PCA values as well as of original data.", "proceedingsTitle": "IN PROC. OF ASIA-PACIFIC SYMPOSIUM ON INFORMATION VISUALISATION", "conferenceName": "", "publisher": "", "place": "", "date": "2006", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "121–130", "series": "", "seriesNumber": "", "DOI": "", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "CiteSeer", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2012-11-29T10:39:20Z", "dateModified": "2012-11-29T10:39:20Z" } }, { "key": "FJC6ZH6D", "version": 2, "library": { "type": "group", "id": 125751, "name": "Visweek2013", "links": { "alternate": { "href": "https://www.zotero.org/groups/visweek2013", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/125751/items/FJC6ZH6D", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/visweek2013/items/FJC6ZH6D", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/125751/items/6VA77FH7", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1028015, "username": "ThomasKroes", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/thomaskroes", "type": "text/html" } } } }, "data": { "key": "FJC6ZH6D", "version": 2, "parentItem": "6VA77FH7", "itemType": "attachment", "linkMode": "imported_url", "title": "IEEE Xplore Abstract Record", "accessDate": "2012-11-29T10:34:55Z", "url": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5204083", "note": "", "contentType": "text/html", "charset": "utf-8", "filename": "stamp.html", "md5": "999db5c9cfe4fbfb98fd5d27da215b42", "mtime": 1354185295475, "tags": [], "relations": {}, "dateAdded": "2012-11-29T10:34:55Z", "dateModified": "2012-11-29T10:34:55Z" } }, { "key": "ZEZCM6XJ", "version": 2, "library": { "type": "group", "id": 125751, "name": "Visweek2013", "links": { "alternate": { "href": "https://www.zotero.org/groups/visweek2013", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/125751/items/ZEZCM6XJ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/visweek2013/items/ZEZCM6XJ", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/125751/items/6VA77FH7", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1028015, "username": "ThomasKroes", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/thomaskroes", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "ZEZCM6XJ", "version": 2, "parentItem": "6VA77FH7", "itemType": "attachment", "linkMode": "imported_url", "title": "IEEE Xplore Full Text PDF", "accessDate": "2012-11-29T10:34:53Z", "url": "http://ieeexplore.ieee.org/ielx5/2945/5380814/05204083.pdf?tp=&arnumber=5204083&isnumber=5380814", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Weaver - 2010 - Cross-Filtered Views for Multidimensional Visual A.pdf", "md5": "0ed2771a695cd4c2eeabf93a0c53192b", "mtime": 1354185294523, "tags": [], "relations": {}, "dateAdded": "2012-11-29T10:34:53Z", "dateModified": "2012-11-29T10:34:54Z" } }, { "key": "6VA77FH7", "version": 1, "library": { "type": "group", "id": 125751, "name": "Visweek2013", "links": { "alternate": { "href": "https://www.zotero.org/groups/visweek2013", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/125751/items/6VA77FH7", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/visweek2013/items/6VA77FH7", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1028015, "username": "ThomasKroes", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/thomaskroes", "type": "text/html" } } }, "creatorSummary": "Weaver", "parsedDate": "2010-04", "numChildren": 2 }, "data": { "key": "6VA77FH7", "version": 1, "itemType": "journalArticle", "title": "Cross-Filtered Views for Multidimensional Visual Analysis", "creators": [ { "creatorType": "author", "firstName": "C.", "lastName": "Weaver" } ], "abstractNote": "Analysis of multidimensional data often requires careful examination of relationships across dimensions. Coordinated multiple view approaches have become commonplace in visual analysis tools because they directly support expression of complex multidimensional queries using simple interactions. However, generating such tools remains difficult because of the need to map domain-specific data structures and semantics into the idiosyncratic combinations of interdependent data and visual abstractions needed to reveal particular patterns and distributions in cross-dimensional relationships. This paper describes: 1) a method for interactively expressing sequences of multidimensional set queries by cross-filtering data values across pairs of views and 2) design strategies for constructing coordinated multiple view interfaces for cross-filtered visual analysis of multidimensional data sets. Using examples of cross-filtered visualizations of data from several different domains, we describe how cross-filtering can be modularized and reused across designs, flexibly customized with respect to data types across multiple dimensions, and incorporated into more wide-ranging multiple view designs. We also identify several important limitations of the approach. The demonstrated analytic utility of these examples suggests that cross-filtering is a suitable design pattern for instantiation in a wide variety of visual analysis tools.", "publicationTitle": "Visualization and Computer Graphics, IEEE Transactions on", "publisher": "", "place": "", "date": "march-april 2010", "volume": "16", "issue": "2", "section": "", "partNumber": "", "partTitle": "", "pages": "192 -204", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1109/TVCG.2009.94", "citationKey": "", "url": "", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "1077-2626", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Theoretical;User-Computer Interface;", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2012-11-29T10:34:53Z", "dateModified": "2012-11-29T10:34:53Z" } }, { "key": "W8R6HE58", "version": 3, "library": { "type": "group", "id": 125751, "name": "Visweek2013", "links": { "alternate": { "href": "https://www.zotero.org/groups/visweek2013", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/125751/items/W8R6HE58", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/visweek2013/items/W8R6HE58", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/125751/items/IGX5MR3W", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1028015, "username": "ThomasKroes", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/thomaskroes", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "W8R6HE58", "version": 3, "parentItem": "IGX5MR3W", "itemType": "attachment", "linkMode": "imported_url", "title": "IEEE Xplore Full Text PDF", "accessDate": "2012-11-29T10:33:55Z", "url": "http://ieeexplore.ieee.org/ielx5/2945/5380814/05204083.pdf?tp=&arnumber=5204083&isnumber=5380814", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Weaver - 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2009 - Conjunctive Visual Forms.pdf", "md5": "e332be6331807550380d5bb644533eb6", "mtime": 1354185148224, "tags": [], "relations": {}, "dateAdded": "2012-11-29T10:32:19Z", "dateModified": "2012-11-29T10:32:28Z" } }, { "key": "ARET8NNQ", "version": 2, "library": { "type": "group", "id": 125751, "name": "Visweek2013", "links": { "alternate": { "href": "https://www.zotero.org/groups/visweek2013", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/125751/items/ARET8NNQ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/visweek2013/items/ARET8NNQ", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/125751/items/SVT5K5MM", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1028015, "username": "ThomasKroes", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/thomaskroes", "type": "text/html" } } } }, "data": { "key": "ARET8NNQ", "version": 2, "parentItem": "SVT5K5MM", "itemType": "attachment", "linkMode": "imported_url", "title": "IEEE Xplore Abstract Record", "accessDate": "2012-11-29T10:32:21Z", "url": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5290696", "note": "", "contentType": "text/html", "charset": "utf-8", "filename": "stamp.html", "md5": "6aff5d5a3eababa128709e5b9e40c664", "mtime": 1354185141353, "tags": [], "relations": {}, "dateAdded": "2012-11-29T10:32:21Z", "dateModified": "2012-11-29T10:32:21Z" } }, { "key": "SVT5K5MM", "version": 1, "library": { "type": "group", "id": 125751, "name": "Visweek2013", "links": { "alternate": { "href": "https://www.zotero.org/groups/visweek2013", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/125751/items/SVT5K5MM", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/visweek2013/items/SVT5K5MM", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1028015, "username": "ThomasKroes", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/thomaskroes", "type": "text/html" } } }, "creatorSummary": "Weaver", "parsedDate": "2009-12", "numChildren": 2 }, "data": { "key": "SVT5K5MM", "version": 1, "itemType": "journalArticle", "title": "Conjunctive Visual Forms", "creators": [ { "creatorType": "author", "firstName": "C.", "lastName": "Weaver" } ], "abstractNote": "Visual exploration of multidimensional data is a process of isolating and extracting relationships within and between dimensions. Coordinated multiple view approaches are particularly effective for visual exploration because they support precise expression of heterogeneous multidimensional queries using simple interactions. Recent visual analytics research has made significant progress in identifying and understanding patterns of composed views and coordinations that support fast, flexible, and open-ended data exploration. What is missing is formalization of the space of expressible queries in terms of visual representation and interaction. This paper introduces the conjunctive visual form model in which visual exploration consists of interactively-driven sequences of transitions between visual states that correspond to conjunctive normal forms in boolean logic. The model predicts several new and useful ways to extend the space of rapidly expressible queries through addition of simple interactive capabilities to existing compositional patterns. Two recent related visual tools offer a subset of these capabilities, providing a basis for conjecturing about such extensions.", "publicationTitle": "Visualization and Computer Graphics, IEEE Transactions on", "publisher": "", "place": "", "date": "nov.-dec. 2009", "volume": "15", "issue": "6", "section": "", "partNumber": "", "partTitle": "", "pages": "929 -936", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1109/TVCG.2009.129", "citationKey": "", "url": "", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "1077-2626", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "boolean", "type": 1 }, { "tag": "data", "type": 1 }, { "tag": "exploration;visual", "type": 1 }, { "tag": "form", "type": 1 }, { "tag": "logic;conjunctive", "type": 1 }, { "tag": "model;heterogeneous", "type": 1 }, { "tag": "multidimensional", "type": 1 }, { "tag": "processing;", "type": 1 }, { "tag": "queries;multidimensional", "type": 1 }, { "tag": "representation;data", "type": 1 }, { "tag": "visual", "type": 1 }, { "tag": "visualisation;query", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2012-11-29T10:32:19Z", "dateModified": "2012-11-29T10:32:19Z" } }, { "key": "7WQQVPI4", "version": 2, "library": { "type": "group", "id": 125751, "name": "Visweek2013", "links": { "alternate": { "href": "https://www.zotero.org/groups/visweek2013", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/125751/items/7WQQVPI4", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/visweek2013/items/7WQQVPI4", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/125751/items/CGS2APB3", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1028015, "username": "ThomasKroes", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/thomaskroes", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "7WQQVPI4", "version": 2, "parentItem": "CGS2APB3", "itemType": "attachment", "linkMode": "imported_url", "title": "IEEE Xplore Full Text PDF", "accessDate": "2012-11-29T10:29:23Z", "url": "http://ieeexplore.ieee.org/ielx5/38/30967/01438260.pdf?tp=&arnumber=1438260&isnumber=30967", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Love et al. - 2005 - Visualizing spatial multivalue data.pdf", "md5": "d61c3e79d2b385da8ce06b7a51d451ed", "mtime": 1354184987596, "tags": [], "relations": {}, "dateAdded": "2012-11-29T10:29:23Z", "dateModified": "2012-11-29T10:29:47Z" } }, { "key": "BWDSV6X4", "version": 2, "library": { "type": "group", "id": 125751, "name": "Visweek2013", "links": { "alternate": { "href": "https://www.zotero.org/groups/visweek2013", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/125751/items/BWDSV6X4", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/visweek2013/items/BWDSV6X4", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/125751/items/CGS2APB3", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1028015, "username": "ThomasKroes", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/thomaskroes", "type": "text/html" } } } }, "data": { "key": "BWDSV6X4", "version": 2, "parentItem": "CGS2APB3", "itemType": "attachment", "linkMode": "imported_url", "title": "IEEE Xplore Abstract Record", "accessDate": "2012-11-29T10:29:25Z", "url": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1438260", "note": "", "contentType": "text/html", "charset": "utf-8", "filename": "stamp.html", "md5": "188a732aad6a8f713b1441ace288893a", "mtime": 1354184965154, "tags": [], "relations": {}, "dateAdded": "2012-11-29T10:29:25Z", "dateModified": "2012-11-29T10:29:25Z" } }, { "key": "CGS2APB3", "version": 1, "library": { "type": "group", "id": 125751, "name": "Visweek2013", "links": { "alternate": { "href": "https://www.zotero.org/groups/visweek2013", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/125751/items/CGS2APB3", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/visweek2013/items/CGS2APB3", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1028015, "username": "ThomasKroes", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/thomaskroes", "type": "text/html" } } }, "creatorSummary": "Love et al.", "parsedDate": "2005-06", "numChildren": 2 }, "data": { "key": "CGS2APB3", "version": 1, "itemType": "journalArticle", "title": "Visualizing spatial multivalue data", "creators": [ { "creatorType": "author", "firstName": "A.L.", "lastName": "Love" }, { "creatorType": "author", "firstName": "A.", "lastName": "Pang" }, { "creatorType": "author", "firstName": "D.L.", "lastName": "Kao" } ], "abstractNote": "We introduce multivalue data as a new data type in the context of scientific visualization. While this data type has existed in other fields, the visualization community has largely ignored it. Formally, a multivalue datum is a collection of values about a single variable. Multivalue data sets can be defined for multiple dimensions. A spatial multivalue data set consists of a multivalue datum at each physical location in the domain. The time dimension is equally valid. This leads to spatio-temporal multivalue data sets where there is time varying, multidimensional data with a multivalue datum at each location and time. The spatial multivalue data type captures multiple instances of the same variable at each location in space. Visualizing spatial multivalue data sets is a new challenge.", "publicationTitle": "Computer Graphics and Applications, IEEE", "publisher": "", "place": "", "date": "may-june 2005", "volume": "25", "issue": "3", "section": "", "partNumber": "", "partTitle": "", "pages": "69 - 79", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1109/MCG.2005.71", "citationKey": "", "url": "", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "0272-1716", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "(computer", "type": 1 }, { "tag": "animation;", "type": 1 }, { "tag": "computer", "type": 1 }, { "tag": "data", "type": 1 }, { "tag": "databases;", "type": 1 }, { "tag": "graphics);", "type": 1 }, { "tag": "multivalue", "type": 1 }, { "tag": "probability;", "type": 1 }, { "tag": "rendering", "type": 1 }, { "tag": "scientific", "type": 1 }, { "tag": "sets;", "type": 1 }, { "tag": "spatio-temporal", "type": 1 }, { "tag": "temporal", "type": 1 }, { "tag": "visual", "type": 1 }, { "tag": "visualisation;", "type": 1 }, { "tag": "visualization;", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2012-11-29T10:29:23Z", "dateModified": "2012-11-29T10:29:23Z" } }, { "key": "RDRTWIUG", "version": 3, "library": { "type": "group", "id": 125751, "name": "Visweek2013", "links": { "alternate": { "href": "https://www.zotero.org/groups/visweek2013", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/125751/items/RDRTWIUG", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/visweek2013/items/RDRTWIUG", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/125751/items/SBPBG75M", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1028015, "username": "ThomasKroes", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/thomaskroes", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "RDRTWIUG", "version": 3, "parentItem": "SBPBG75M", "itemType": "attachment", "linkMode": "imported_url", "title": "IEEE Xplore Full Text PDF", "accessDate": "2012-11-29T10:22:08Z", "url": "http://ieeexplore.ieee.org/ielx5/2945/5290686/05290748.pdf?tp=&arnumber=5290748&isnumber=5290686", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Matkovic et al. - 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Multiple independent variables are considered and large and complex data are computed, especially in the case of multi-run simulation. Classical visualization techniques deal well with 2D or 3D data and also with time-dependent data. Additional independent dimensions, however, provide interesting new challenges. We present an advanced visual analysis approach that enables a thorough investigation of families of data surfaces, i.e., datasets, with respect to pairs of independent dimensions. While it is almost trivial to visualize one such data surface, the visual exploration and analysis of many such data surfaces is a grand challenge, stressing the users' perception and cognition. We propose an approach that integrates projections and aggregations of the data surfaces at different levels (one scalar aggregate per surface, a 1D profile per surface, or the surface as such). We demonstrate the necessity for a flexible visual analysis system that integrates many different (linked) views for making sense of this highly complex data. To demonstrate its usefulness, we exemplify our approach in the context of a meteorological multi-run simulation data case and in the context of the engineering domain, where our collaborators are working with the simulation of elastohydrodynamic (EHD) lubrication bearing in the automotive industry.", "publicationTitle": "Visualization and Computer Graphics, IEEE Transactions on", "publisher": "", "place": "", "date": "nov.-dec. 2009", "volume": "15", "issue": "6", "section": "", "partNumber": "", "partTitle": "", "pages": "1351 -1358", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1109/TVCG.2009.155", "citationKey": "", "url": "", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "1077-2626", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "analysis;data", "type": 1 }, { "tag": "analysis;meteorological", "type": 1 }, { "tag": "automotive", "type": 1 }, { "tag": "case;automobile", "type": 1 }, { "tag": "data", "type": 1 }, { "tag": "data;computational", "type": 1 }, { "tag": "industry;complex", "type": 1 }, { "tag": "industry;data", "type": 1 }, { "tag": "lubrication;interactive", "type": 1 }, { "tag": "multi-run", "type": 1 }, { "tag": "scientific", "type": 1 }, { "tag": "simulation", "type": 1 }, { "tag": "simulation;data", "type": 1 }, { "tag": "surfaces;elastohydrodynamic", "type": 1 }, { "tag": "systems;lubrication;", "type": 1 }, { "tag": "visual", "type": 1 }, { "tag": "visualisation;electrohydrodynamics;interactive", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2012-11-29T10:22:08Z", "dateModified": "2012-11-29T10:22:08Z" } }, { "key": "2VR2UCKT", "version": 3, "library": { "type": "group", "id": 125751, "name": "Visweek2013", "links": { "alternate": { "href": "https://www.zotero.org/groups/visweek2013", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/125751/items/2VR2UCKT", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/visweek2013/items/2VR2UCKT", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/125751/items/KJXKACB3", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1028015, "username": "ThomasKroes", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/thomaskroes", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "2VR2UCKT", "version": 3, "parentItem": "KJXKACB3", "itemType": "attachment", "linkMode": "imported_url", "title": "IEEE Xplore Full Text PDF", "accessDate": "2012-11-29T10:19:08Z", "url": "http://ieeexplore.ieee.org/ielx5/4419575/4419576/04419664.pdf?tp=&arnumber=4419664&isnumber=4419576", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Nocke et al. - 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To gain insight, current climate analysis applies statistical methods and model sensitivity analyzes in combination with standard visualization techniques. However, there are some obstacles for researchers in applying the full functionality of sophisticated visualization, exploiting the available interaction and visualization functionality in order to go beyond data presentation tasks. In particular, there is a gap between available and actually applied multi-variate visualization techniques. Furthermore, visual data comparison of simulation (and measured) data is still a challenging task. Consequently, this paper introduces a library of visualization techniques, tailored to support exploration and evaluation of climate simulation data. 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