580
Views
12
CrossRef citations to date
0
Altmetric
Articles

Using geovisual analytics to compare the performance of geographically weighted discriminant analysis versus its global counterpart, linear discriminant analysis

&
Pages 633-661 | Received 16 Sep 2011, Accepted 13 Aug 2012, Published online: 08 Nov 2012

References

  • Afifi , A. , Clark , V.A. and May , S. 2004 . “ Computer-aided multivariate statistics ” . In Texts in statistical science , 4th , Boca Raton , FL : Chapman & Hall/CRC .
  • Andrienko , G. and Andrienko , N. Constructing parallel coordinates plot for problem solving . Proceedings of the symposium on smart graphics . March 21–23 , Hawthorne, NY , USA . Edited by: Butz , A. , Krueger , A. , Olivier , P. and Zhou , M. pp. 9 – 14 . ACM Association for Computing Machinery .
  • Andrienko , G. 2007 . Geovisual analytics for spatial decision support: setting the research agenda . International Journal of Geographical Information Science , 21 ( 8 ) : 839 – 857 .
  • Brunsdon , C. 2009 . Reply: GWDA and UK 2005 election results . Geographical Analysis , 41 ( 3 ) : 338 – 341 .
  • Brunsdon , C. , Fotheringham , A.S. and Charlton , M. 2007 . Geographically weighted discriminant analysis . Geographical Analysis , 39 ( 4 ) : 376 – 396 .
  • Crespin , M. , Darmofal , D. and Eaves , C. The political geography of congressional elections . Annual meeting of the Midwest Political Science Association . 31 March – 3 April , Chicago , IL .
  • Danese , M. 2009 . Investigating material decay of historic buildings using visual analytics with multi-temporal infrared thermographic data . Archaeometry , 52 ( 3 ) : 482 – 501 .
  • Demšar , U. , Fotheringham , A.S. and Charlton , M. 2008a . Combining geovisual analytics with spatial statistics: the example of geographically weighted regression . The Cartographic Journal , 45 ( 3 ) : 182 – 192 .
  • Demšar , U. , Fotheringham , A.S. and Charlton , M. 2008b . Exploring the spatio-temporal dynamics of geographical processes with geographically weighted regression and geovisual analytics . Information Visualization , 7 ( 3–4 ) : 181 – 197 .
  • Demšar , U. and Harris , P. 2011 . Visual comparison of moving-window kriging models . Cartographica , 46 ( 4 ) : 211 – 226 .
  • Dykes , J. and Brunsdon , C. 2007 . Geographically weighted visualization: interactive graphics for scale-varying exploratory analysis . IEEE Transactions on Visualization and Computer Graphics , 13 ( 6 ) : 1161 – 1168 .
  • Fotheringham , A.S. , Brundson , C. and Charlton , M. 2002 . Geographically weighted regression – the analysis of spatially varying relationships , Chichester : John Wiley & Sons .
  • Gahegan , M. 2002 . Introducing GeoVISTA Studio: an integrated suite of visualization and computational methods for exploration and knowledge construction in geography . Computers, Environment and Urban Systems , 26 ( 4 ) : 267 – 292 .
  • Hardisty , F. and Robinson , A.C. 2011 . The GeoViz Toolkit: using component-oriented coordination methods for geographic visualization and analysis . International Journal of Geographical Information Science , 25 ( 2 ) : 191 – 210 .
  • Harris , P. , Brunsdon , C. and Charlton , M. 2011 . Geographically weighted principal components analysis . International Journal of Geographical Information Science , 25 ( 10 ) : 1717 – 1736 .
  • Hofmann , H. 2008 . “ Mosaic plots and their variants, ch. 13 ” . In Handbook of data visualization , Edited by: Chen , C.-H. , Härdle , W.K. and Unwin , A. 617 – 642 . Berlin/Heidelberg : Springer Verlag .
  • Huisman , O. 2009 . Developing a geovisual analytics environment for investigating archaeological events: extending the space-time cube . Cartography and Geographic Information Science , 36 ( 3 ) : 225 – 236 .
  • Hurley , C.B. 2004 . Clustering visualizations of multidimensional data . Journal of Computational and Graphical Statistics , 13 ( 4 ) : 788 – 806 .
  • Jankowski , P. 2010 . Discovering landmark preferences and movement patterns from photo postings . Transactions in GIS , 14 ( 6 ) : 833 – 852 .
  • Johnston , R. and Pattie , C. 2009 . Comment: geographically weighted discriminant analysis and the 2005 British general election . Geographical Analysis , 41 ( 3 ) : 333 – 337 .
  • Jolliffe , I.T. 2002 . Principal components analysis , 2nd , Berlin/Heidelberg : Springer Verlag .
  • Kang , Y.A. , Görg , C. and Stasko , J. 2011 . How can visual analytics assist investigative analysis? Design implications from an evaluation . IEEE Transactions on Visualization and Computer Graphics , 17 ( 5 ) : 570 – 583 .
  • Keim , D. , Panse , C. and Sips , M. 2003 . “ Visual data mining of large spatial data sets ” . In Databases in Networked Information Systems. Lecture Notes in Computer Science , Vol. 2822 , 201 – 215 . Berlin/Heidelberg : Springer Verlag .
  • Keim , D. 2004 . Pixel based visual data mining of geo-spatial data . Computers & Graphics , 28 ( 3 ) : 327 – 344 .
  • Keim, D., et al., eds., 2010. Mastering the information age: solving problems with visual analytics [online]. Eurographics Association. http://www.vismaster.eu/wp-content/uploads/2010/11/VisMaster-book-lowres.pdf (http://www.vismaster.eu/wp-content/uploads/2010/11/VisMaster-book-lowres.pdf)
  • Klecka , W.R. 1980 . Discriminant analysis , Beverley Hills , CA : Sage Publications .
  • Kraak , M.J. 2008 . From geovisualisation toward geovisual analytics . The Cartographic Journal , 45 ( 3 ) : 163 – 164 .
  • Krivoruchko , K. 2011 . Spatial statistical data analysis for GIS users , Redlands , CA : ESRI press .
  • Lewandowsky , S. and Spence , I. 1989 . The perception of statistical graphs . Sociological Methods & Research , 18 ( 2–3 ) : 200 – 242 .
  • Lloyd , C. 2010 . Analysing population characteristics using geographically weighted principal components analysis: a case study of Northern Ireland in 2001 . Computers, Environment and Urban Systems , 34 ( 2010 ) : 289 – 299 .
  • Manly , B.F.J. 2005 . Multivariate statistical methods: a primer , 3rd , Boca Raton , FL : Chapman & Hall/CRC .
  • McLachlan , G.J. 2004 . Discriminant analysis and statistical pattern recognition , Hoboken , NJ : John Wiley & Sons .
  • Paez , A. Spatially weighted regression: exploring spatial non-stationarity in multiple contexts . 51st annual North American meetings of the Regional Science Association International . November 11–13 , Seattle , WA .
  • Robinson, A.C., 2012. Geovisualization of the 2004 Presidential Election – dataset [online]. http://www.personal.psu.edu/users/a/c/acr181/election.html (http://www.personal.psu.edu/users/a/c/acr181/election.html) (Accessed: 8 November 2011 ).
  • Shneiderman , B. The eyes have it: a task by data type taxonomy for information visualizations . Proceedings of the IEEE symposium on visual languages . pp. 336 – 343 . Los Alamitos , , California : IEEE Computer Society Press .
  • Slingsby , A. , Dykes , J. and Wood , J. 2011 . Exploring uncertainty in geodemographics with interactive graphics . IEEE Transactions on Visualization and Computer Graphics , 17 ( 6 ) : 2545 – 2554 .
  • Slocum , T.A. 2009 . “ Thematic cartography and geovisualization ” . In Prentice Hall series in Geographic Information Systems , 3rd , Upper Saddle River , NJ : Pearson Prentice Hall .
  • Steed , C. 2009 . Tropical cyclone trend analysis using enhanced parallel coordinates and statistical analytics . Cartography and Geographic Information Science , 36 ( 3 ) : 251 – 265 .
  • Theus , M. 2008 . “ High-dimensional data visualization, ch. 6 ” . In Handbook of data visualization , Edited by: Chen , C.-H. , Härdle , W.K. and Unwin , A. 151 – 178 . Berlin/Heidelberg : Springer Verlag .
  • Theus , M. and Urbanek , S. 2009 . Interactive graphics for data analysis: principles and examples , Boca Raton , FL : Chapman & Hall/CRC .
  • Tu , Y. and Shen , H.W. 2007 . Visualizing changes of hierarchical data using treemaps . IEEE Transactions on Visualization and Computer Graphics , 13 ( 6 ) : 1286 – 1293 .
  • Urbanek , S. 2008 . “ Visualizing trees and forests, ch. 10 ” . In Handbook of data visualization , Edited by: Chen , C.-H. , Härdle , W.K. and Unwin , A. 243 – 264 . Berlin/Heidelberg : Springer Verlag .
  • Van Der Wel , F. , Van Der Gaag , L.C. and Gorte , B.G.H. 1998 . Visual exploration of uncertainty in remote sensing classification . Computers and Geosciences , 24 ( 4 ) : 335 – 343 .
  • Wegman , E.J. 1990 . Hyperdimensional data analysis using parallel coordinates . Journal of the American Statistical Association , 85 ( 411 ) : 664 – 675 .
  • Wills , G. 2008 . “ Linked data views, ch. 9 ” . In Handbook of data visualization , Edited by: Chen , C.-H. , Härdle , W.K. and Unwin , A. 217 – 241 . Berlin/Heidelberg : Springer Verlag .
  • Wing , S.I. and Walker , J.L. 2010 . “ The geographic dimensions of electoral polarization in the 2004 U.S. Presidential vote ” . In Progress in spatial analysis: theory and computation, and thematic applications , Edited by: Paez , A. , Le Gallo , J. , Buliung , R. and Dall'Erba , S. 253 – 285 . Berlin/Heidelberg : Springer Verlag .
  • Wood , J. and Dykes , J. 2008 . Spatially ordered treemaps . IEEE Transactions on Visualization and Computer Graphics , 14 ( 6 ) : 1348 – 1355 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.