CoChat
Sign Up
Cited by 37

The DOI matches its Crossref record, with a small difference in title or year.

Exploring high-D spaces with multiform matrices and small multiples

MacEachren, A., Xiping, D., Hardisty, F., Diansheng Guo, Lengerich, G.·2004·IEEE Symposium on Information Visualization 2003 (IEEE Cat. No.03TH8714)
DOI 10.1109/infvis.2003.1249006
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/infvis.2003.1249006

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 39

  1. raisz, 0, 1934, The Rectangular Statistical Cartogram, Geographical Review 24, 292
  2. pinnel, 2000, 2000, Manipulable Small Multiple Displays, Symposium on User Interface Software and Technology (UIST) 2000
  3. 10.1057/palgrave.ivs.9500003 · DOI
  4. keim, 0, 2000, Designing pixel-oriented visualization techniques: Theory and applications, IEEE Transactions on Visualization and Computer Graphics, 1, 59, 10.1109/2945.841121 · DOI
  5. monmonier, 0, 1989, Geographic brushing: Enhancing exploratory analysis of the scatterplot matrix, Geographical Analysis 21, 1, 81
  6. mäkinen, 2000, 2000, Reordering the Reorderable Matrix as an Algorithmic Problem, Theory and Application of Diagrams Diagrams 2000 Lecture Notes in Artificial Intelligence 1889 Edinburgh Scotland, 453
  7. maceachren, 0, 2003, Supporting visual analysis of federal geospatial statistics, Communications of the ACM 46, 1, 59
  8. johnson, 0, 1991, Tree-maps: A space-filling approach to the visualization of hierarchical information structures, Proc IEEE Visualization, 284
  9. 10.1007/3-540-64383-4_15 · DOI
  10. keim, 0, 1996, Visualization techniques for mining large databases: a comparison, IEEE Transactions on Knowledge and Data Engineering (Special Issue on Data Mining) 8, 6, 923
  11. ahlberg, 1994, 1994, Visual information seeking: tight coupling of dynamic query filters with starfield displays, The Human Factors in Computing Systems (CHI'94), 313
  12. agrawal, 0, 1998, Automatic subspace clustering of high dimensional data for data mining applications, ACM SIGMOD International Conference on Management of Data, 94
  13. 10.1002/asi.1119 · DOI
  14. gahegan, 0, 2002, Introducing GeoVISTA Studio: an integrated suite of visualization and computational methods for exploration and knowledge construction in geography, Computers Environment and Urban Systems, 4, 267
  15. goldstein, 0, 1994, Using aggregation and dynamic queries for exploring large data sets, Proc of the CH1′94 (Conference on Human Factors and Computing Systems), 23
  16. gluck, 1999, 1999, Augmented seriation: usability of a visual and auditory tool for geographic pattern discovery with risk perception data., Proc Of GeoComputation'99, 25
  17. guo, 2002, 2002, Opening the Black Box: Interactive Hierarchical Clustering for Multivariate Spatial Patterns, The Tenth ACM International Symposium on Advances in Geographic Information Systems, 131, 10.1145/585147.585175 · DOI
  18. guo, 0, 2003, Breaking Down Dimensionality: An Effective Feature Selection Method for High-Dimensional Clustering, Workshop on Clustering High Dimensional Data and its Applications the Third SIAM International Conference on Data Mining
  19. carr, 0, 2000, Two new templates for epidemilogy applications: linked micromap plots and conditioned choroplth maps, Statistics in Medicine 19, 2521, 10.1002/1097-0258(20000915/30)19:17/18<2521::AID-SIM585>3.0.CO;2-K · DOI
  20. reed, 0, 1995, Virtual Reality and Parallel Systems Performance Analysis, Computer 28, 11, 57
  21. carr, 0, submitted, Conditioned choropleth maps and hypothesis generation, Annals of the Association of American Geographers
  22. cook, 0, 1997, Dynamic graphics in a GIS: more examples using linked software, Computers & Geosciences special issue on Exploratory Cartographic Visualization 23, 4, 371
  23. dibiase, 0, 1994, Multivariate display of geographic data: Applications in earth system science, Visualization in Modern Cartography, 287
  24. fekete, 1999, 1999, Excentric labeling: dynamic neighborhood labeling for data visualization, Proceeding of the CHI99 conference on Human factors in computing systems the CHI is the limit, 512
  25. friendly, 0, 2002b, Corrgrams: Exploratory displays for correlation matrices, The American Statistician, 19, 316
  26. ankerst, 1998, 1998, Similarity clustering of dimensions for an enhanced visualization of multidimensional data, Proc Information Visualization, 153, 52, 10.1109/INFVIS.1998.729559 · DOI
  27. 10.1145/142750.143054 · DOI
  28. 10.1515/9783110854688 · DOI
  29. 10.1080/00401706.1987.10488204 · DOI
  30. brewer, 0, 1994, Color use guidelines for mapping and visualization., Visualization in Modern Cartography, 123
  31. zani, 0, 1998, Robust bivariate boxplots and multiple outlier detection, Computational Statistics & Data Analysis, 257
  32. brunsdon, 0, 2001, The Comap: exploring spatial pattern via conditional distributions, Computers Environment and Urban Systems, 1, 53
  33. tweedie, 0, 1997, Characterizing interactive externalizations, Proceedings of the SIGCHI conference on Human factors in computing systems (CHI97), 375
  34. wilkinson, 0, 1979, Permuting a matrix to a simple pattern, Proc Statistical Computation Section Amer Statistical Assoc, 409
  35. tweedie, 0, 1996, Externalising Abstract Mathematical Models, CH1'96 Conference on Human Factors in Computing Systems, 406
  36. schmid, 0, 1994, Comparative Multivariate Visualization Across Conceptually Different Graphic Displays, Proceedings of the Seventh International Working Conference on Statistical and Scientific Database Management SSDBM 94
  37. rousseeuw, 0, 1999, The bagplot: A bivariate boxplot, The American Statistician, 53, 382
  38. stasko, 0, 2000, An evaluation of space-filling information visualizations for depicting hierarchical structures, International Journal of Human Computation Studies, 5, 663, 10.1006/ijhc.2000.0420 · DOI
  39. siirtola, 1999, 1999, Interaction with the Reorderable Matrix, Proceedings International Conference on Information Visualization IV ′99, 272

Cited by

Sorted by citations

Metadata

Authors
MacEachren, A., Xiping, D., Hardisty, F., Guo, D., & Lengerich, G.
Venue
IEEE Symposium on Information Visualization 2003 (IEEE Cat. No.03TH8714)
Publisher
IEEE
Published
2004
Pages
31-38
DOI
10.1109/infvis.2003.1249006
Cited by
37
References
0

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review