Automated map projection selection for GIS

References

• Anderson, K. C., & Leinhardt, G. (2002). Maps as representations: Expert novice comparison of projection understanding. Cognition and Instruction, 20(3), 283–321. doi:10.1207/S1532690XCI2003_1
   Web of Science ®Google Scholar
• Baselga, S. (2018). Fibonacci lattices for the evaluation and optimization of map projections. Computers & Geosciences, 117, 1–8. doi:10.1016/j.cageo.2018.04.012
   Web of Science ®Google Scholar
• Battersby, S. E. (2009). The effects of global-scale map projection knowledge on perceived land area. Cartographica, 44(1), 33–44. doi:10.3138/carto.44.1.33
   Google Scholar
• Battersby, S. E., Strebe, D., & Finn, M. P. (2017). Shapes on a plane: Evaluating the impact of projection distortion on spatial binning. Cartography and Geographic Information Science, 44(5), 410–421. doi:10.1080/15230406.2016.1180263
   Web of Science ®Google Scholar
• Bildirici, I. O. (2015). Quasi indicatrix approach for distortion visualization and analysis for map projections. International Journal of Geographical Information Science, 29(12), 2295–2309. doi:10.1080/13658816.2015.1074236
   Web of Science ®Google Scholar
• Boyce, R. R., & Clark, W. A. V. (1964). The concept of shape in geography. Geographical Review, 54(4), 561–572. doi:10.2307/212982
   Web of Science ®Google Scholar
• Brainerd, J., & Pang, A. (2001). Interactive map projections and distortion. Computers & Geosciences, 27(3), 299–314. doi:10.1016/S0098-3004(00)00108-4
   Web of Science ®Google Scholar
• Bugayevskiy, L. M., & Snyder, J. P. (1995). Map projections: A reference manual. London: Taylor & Francis.
   Google Scholar
• Canters, F. (1991). Map projection in a GIS environment. In K. Rybaczuk & M. Blakemore (Eds.), Mapping the Nations: Proceedings of the 15th Conference of the International Cartographic Association Volume 2, (pp. 595–604). London: International Cartographic Association.
   Google Scholar
• Canters, F. (2002). Small-scale map projection design. London: Taylor & Francis.
   Google Scholar
• Canters, F., & Decleir, H. (1989). The world in perspective: A directory of world map projections. Chichester, UK: Wiley.
   Google Scholar
• Canters, F., Deknopper, R., & De Genst, W. (2005, July). A new approach for designing orthophanic world maps. Paper presented at the 22nd International Cartographic Conference, A Coruña, Spain.
   Google Scholar
• Carbon, C. (2010). The earth is flat when personally significant experiences with the sphericity of the earth are absent. Cognition, 116(1), 130–135. doi:10.1016/j.cognition.2010.03.009
   PubMed Web of Science ®Google Scholar
• Chrisman, N., & Girres, J. F. (2016). First do no harm: Eliminating systematic error in analytical results of GIS applications. In W. Shi, B. Wu, & A. Stein (Eds.), Uncertainty modelling and quality control for spatial data (pp. 27–44). Boca Raton, FL: CRC Press. doi:10.5194/isprsarchives-XL-2-W1-35-2013
   Google Scholar
• Chrisman, N. R. (2017). Calculating on a round planet. International Journal of Geographical Information Science, 31(4), 637–657. doi:10.1080/13658816.2016.1215466
   Web of Science ®Google Scholar
• De Genst, W., & Canters, F. (1996). Development and implementation of a procedure for automated map projection selection. Cartography and Geographic Information Science, 23(3), 145–171. doi:10.1559/152304096782438864
   Google Scholar
• Deakin, R. E., Bird, S. C., & Grenfell, R. I. (2002). The centroid? Where would you like it to be? Cartography, 31(2), 153–167. doi:10.1080/00690805.2002.9714213
   Google Scholar
• Dent, B. D. (1999). Cartography: Thematic map design (5th ed.). Boston: McGraw-Hill.
   Google Scholar
• Downs, R. M., & Liben, L. S. (1991). The development of expertise in geography: A cognitive-developmental approach to geographic education. Annals of the Association of American Geographers, 81(2), 304–327. doi:10.1111/j.1467-8306.1991.tb01692.x
   Web of Science ®Google Scholar
• Egenhofer, M. J., & Mark, D. M. (1995). Naive geography. In A. U. Frank & W. Kuhn (Eds.), Spatial information theory: A theoretical basis for GIS. Lecture notes in computer sciences No. 988 (pp. 1–15). Berlin: Springer. doi:10.1007/3-540-60392-1_1
   Google Scholar
• Eldrandaly, K. A. (2006). A COM-based expert system for selecting the suitable map projection in ArcGIS. Expert Systems with Application, 31, 94–100. doi:10.1016/j.eswa.2005.09.008
   Web of Science ®Google Scholar
• Finn, M. P., Usery, E. L., Posch, S. T., & Seong, J. C. (2004). A decision support system for map projections of small scale data (Scientific Investigations Report 2004-5297). Reston, VA: United States Geological Survey (USGS). doi:10.3133/sir20045297
   Google Scholar
• Florinsky, I. V. (2017). Spheroidal equal angular DEMs: The specificity of morphometric treatment. Transactions in GIS, 21(6), 1115–1129. doi:10.1111/tgis.12269
   Web of Science ®Google Scholar
• Gatrell, A. C. (1983). Distance and space: A geographical perspective. Oxford: Oxford University Press.
   Google Scholar
• Gilmartin, P. P. (1991). Showing the shortest routes - great circles. In A. H. Robinson & J. P. Snyder (Eds.), Matching the map projection to the need (pp. 18–19). Bethesda, MD: American Congress on Surveying and Mapping.
   Google Scholar
• Goldberg, D. M., & Gott, J. R. (2007). Flexion and skewness in map projections of the earth. Cartographica, 42(4), 297–318. doi:10.3138/carto.42.4.297
   Google Scholar
• Gonzalez, A. (2010). Measurement of areas on a sphere using fibonacci and latitude–longitude lattices. Mathematical Geosciences, 42(1), 49–64. doi:10.1007/s11004-009-9257-x
   Web of Science ®Google Scholar
• Goodchild, M. F. (1992). Geographical information science. International Journal of Geographical Information Systems, 6(1), 31–45. doi:10.1080/02693799208901893
   Web of Science ®Google Scholar
• Goodchild, M. F. (2018). Reimagining the history of GIS. Annals of GIS, 24(1), 1–8. doi:10.1080/19475683.2018.1424737
   Web of Science ®Google Scholar
• Hruby, F., & Riedl, A. (2018). 2000 years of ‘globes vs. maps’ – Lessons (to be) learned. International Journal of Cartography, 4(2), 186–200. doi:10.1080/23729333.2017.1422097
   Google Scholar
• Hsu, M.-L. (1981). The role of projections in modern map design. Cartographica, 18(2), 151–186. doi:10.3138/9821-M648-7189-0088
   Google Scholar
• Hunter, G. J., & Reinke, K. J. (2000, July). Adapting spatial databases to reduce information misuse through illogical operations. In G. P. M. Heuvelink & M. J. P. M. Lemmens (Eds.), Accuracy 2000: Proceedings of 4th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, (pp. 313–319). Delft, Netherlands: Delft University Press.
   Google Scholar
• Ivanov, A. G., & Zagrebin, G. I. (2011, July). Working out the methods of realisation of elements of the mathematical basis of maps. In A. Ruas (Ed.), Proceedings of the 25th International Cartographic Conference, Paris, France.
   Google Scholar
• Jankowski, P., & Nyerges, T. L. (1989). Design considerations for MaPKBS-map projection knowledge-based system. American Cartographer, 16(2), 85–95. doi:10.1559/152304089783875514
   Web of Science ®Google Scholar
• Kastrisios, C., & Tsoulos, L. (2018). Voronoi tessellation on the ellipsoidal earth for vector data. International Journal of Geographical Information Science, 32(8), 1541–1557. doi:10.1080/13658816.2018.1434890
   Web of Science ®Google Scholar
• Kerkovits, K., & Gede, M. (2017). Web-based decision support system for choosing the appropriate map projection. Poster presented at the 28th International Cartographic Conference, Washington, DC.
   Google Scholar
• Kessler, F. C. (2000). A visual basic algorithm for the winkel tripel projection. Cartography and Geographic Information Science, 27(2), 177–183. doi:10.1559/152304000783547939
   Google Scholar
• Kessler, F. C. (2018). Map projection education in cartography textbooks: A content analysis. Cartographic Perspectives, 90, 6–30. doi:10.14714/CP90.1449
   Google Scholar
• Kimerling, A. J. (2002). Predicting data loss and duplication when resampling from equal-angle grids. Cartography and Geographic Information Science, 29(2), 111–126. doi:10.1559/152304002782053297
   Google Scholar
• Kimerling, A. J., Buckley, A. R., Muehrcke, P. C., & Muehrcke, J. O. (2012). Map use: Reading, analysis, and interpretation (7th ed.). Redlands, CA: ESRI Press.
   Google Scholar
• Kimerling, A. J., Overton, S. W., & White, D. (1995). Statistical comparison of map projection distortion within irregular areas. Cartography and Geographic Information Science, 22(3), 205–221. doi:10.1559/152304095782540348
   Google Scholar
• Laskowski, P. (1997). Distortion-spectrum fundamentals: A new tool for analyzing and visualizing map distortions [Monograph 50]. Cartographica, 34(3), 3–18. doi:10.3138/Y51X-1590-PV21-136G
   Google Scholar
• Lee, D. R., & Sallee, G. T. (1970). A method of measuring shape. Geographical Review, 60(4), 555–563. doi:10.2307/213774
   Web of Science ®Google Scholar
• Li, Z., & Aryana, S. (2018). Diffusion-based cartogram on spheres. Cartography and Geographic Information Science, 45(5), 464–475. doi:10.1080/15230406.2017.1408033
   Web of Science ®Google Scholar
• Longley, P. A., Goodchild, M. F., Maguire, D. J., & Rhind, D. W. (2011). Geographic information systems & science (3rd ed.). Hoboken, NJ: Wiley.
   Google Scholar
• MacEachren, A. M. (1985). Compactness of geographic shape: Comparison and evaluation of measures. Geografiska Annaler Series B, Human Geography, 67(1), 53–67. doi:10.1080/04353684.1985.11879515
   Web of Science ®Google Scholar
• Maling, D. H. (1989). Measurements from maps: Principles and methods of cartometry. Oxford: Pergamon. doi:10.1016/c2013-0-10194-8
   Google Scholar
• Maling, D. H. (1992). Coordinate systems and map projections (2nd ed.). Oxford: Pergamon. doi:10.1016/c2009-0-11149-2
   Google Scholar
• Mark, D. M., & Freundschuh, S. M. (1995). Spatial concepts and cognitive models for geographic information use. In T. L. Nyerges, D. M. Mark, R. Laurini, & M. J. Egenhofer (Eds.), Cognitive aspects of human-computer interaction for geographic information systems (pp. 21–28). Dordrecht, Netherlands: Kluwer Academic Publishers. doi:10.1007/978-94-011-0103-5_3
   Google Scholar
• Mekenkamp, P. G. M. (1990, April). The need for projection on parameter in a GIS environment. In J. J. Harts, H. F. L. Ottens, & H. J. Scholtes (Eds.), EGIS ’90: Proceedings, First European Conference on Geographical Information Systems, Amsterdam, Netherlands (pp.762–769). Utrecht, Netherlands: EGIS Foundation.
   Google Scholar
• Mekenkamp, P. G. M. (2005, July). Using map projections without changing the world: Projection accuracy analyses. Paper presented at the 22nd International Cartographic Conference, A Coruña, Spain.
   Google Scholar
• Mitchell, H. C., & Simmons, H. G. (1945). The state coordinate systems (A manual for surveyors) (Coast and geodetic survey special Publication No.235). Washington, DC: United States Government Printing Office.
   Google Scholar
• Muehrcke, P. C. (1991). Showing ranges and rings of activity. In A. H. Robinson & J. P. Snyder (Eds.), Matching the map projection to the need (pp. 24–25). Bethesda, MD: American Congress on Surveying and Mapping.
   Google Scholar
• Mulcahy, K. A. (2000). Two new metrics for evaluating pixel-based change in data sets of global extent due to projection transformation. Cartographica, 37(2), 1–12. doi:10.3138/C157-258R-2202-5835
   Google Scholar
• Mulcahy, K. A., & Clarke, K. C. (2001). Symbolization of map projection distortion: A review. Cartography and Geographic Information Science, 28(3), 167–181. doi:10.1559/152304001782153044
   Google Scholar
• Nyerges, T. L., & Jankowski, P. (1989). A knowledge base for map projection selection. American Cartographer, 16(1), 29–38. doi:10.1559/152304089783875622
   Web of Science ®Google Scholar
• O’Sullivan, D., & Unwin, D. J. (2010). Geographic information analysis (2nd ed.). Hoboken, NJ: Wiley. doi:10.1002/9780470549094
   Google Scholar
• Olson, J. M. (2006). Map projections and the visual detective: How to tell if a map is equal-area, conformal, or neither. The Journal of Geography, 105(1), 13–32. doi:10.1080/00221340608978655
   Web of Science ®Google Scholar
• Rae, A. (2009). From spatial interaction data to spatial interaction information? Geovisualisation and spatial structures of migration from the 2001 UK census. Computers, Environment and Urban Systems, 33(3), 161–178. doi:10.1016/j.compenvurbsys.2009.01.007
   Web of Science ®Google Scholar
• Robinson, A. H. (1974). A new map projection: Its development and characteristics. In G. M. Kirschbaum & K. H. Meine (Eds.), International yearbook of cartography volume XIV (pp. 145–155). London: George Philip & Son.
   Google Scholar
• Robinson, A. H. (1988). Choosing a world map: Attributes, distortions, classes, aspects. Falls Church, VA: American Congress on Survey and Mapping.
   Google Scholar
• Robinson, A. H. (1991). Straightening a rhumb. In A. H. Robinson & J. P. Snyder (Eds.), Matching the map projection to the need (pp. 20–21). Bethesda, MD: American Congress on Surveying and Mapping.
   Google Scholar
• Rogerson, P. A. (2015). A new method for finding geographic centers, with application to U.S. States. The Professional Geographer, 67(4), 686–694. doi:10.1080/00330124.2015.1062707
   Web of Science ®Google Scholar
• Šavrič, B., Jenny, B., Patterson, T., Petrovic, D., & Hurni, L. (2011). A polynomial equation for the natural earth projection. Cartography and Geographic Information Science, 38(4), 363–372. doi:10.1559/15230406384363
   Web of Science ®Google Scholar
• Šavrič, B., Jenny, B., & Jenny, H. (2016). Projection wizard – an online map projection selection tool. Cartographic Journal, 53(2), 177–185. doi:10.1080/00087041.2015.1131938
   Web of Science ®Google Scholar
• Šavrič, B., Patterson, T., & Jenny, B. (2016). The natural Earth II world map projection. International Journal of Cartography, 1(2), 123–133. doi:10.1080/23729333.2015.1093312
   Google Scholar
• Seong, J. C., Mulcahy, K. A., & Usery, E. L. (2002). The sinusoidal projection: A new importance in relation to global image data. Professional Geographer, 54(2), 218–225. doi:10.1111/0033-0124.00327
   Web of Science ®Google Scholar
• Seong, J. C., & Usery, E. L. (2003). Assessing raster representation accuracy using a scale factor model. Photogrammetric Engineering & Remote Sensing, 67(10), 1185–1191.
   Web of Science ®Google Scholar
• Skopeliti, A., & Tsoulos, L. (2013). Choosing a suitable projection for navigation in the arctic. Marine Geodesy, 36(2), 234–259. doi:10.1080/01490419.2013.781087
   Web of Science ®Google Scholar
• Slocum, T. A., McMaster, R. B., Kessler, F. C., & Howard, H. H. (2010). Thematic cartography and geovisualization (3rd ed.). Upper Saddle River, NJ: Pearson.
   Google Scholar
• Smith, D. G., & Snyder, J. P. (1988). Expert map projection selection system. In US geological survey yearbook, fiscal year 1988 (pp. 14–15). Washington, DC: United States Government Printing Office. doi:10.3133/70046669
   Google Scholar
• Snyder, J. P. (1987). Map projections – a working manual. (U.S. Geological Survey Professional Paper 1395). Washington, DC: United States Government Printing Office.
   Google Scholar
• Snyder, J. P. (1993). Flattening the earth: Two thousand years of map projections. Chicago: University of Chicago Press.
   Google Scholar
• Snyder, J. P. (1994). How practical are minimum-error map projections? Cartographic Perspectives, 17(4), 3–9. doi:10.14714/CP17.942
   Google Scholar
• Snyder, J. P., & Voxland, P. M. (1989). An album of map projections. U.S. Geological Survey Professional Paper 1453. Washington, DC: United States Government Printing Office. doi:10.3133/pp1453
   Google Scholar
• Steinwand, D. R. (1994). Mapping raster imagery to the Interrupted Goode Homolosine Projection. International Journal of Remote Sensing, 15(17), 3463–3471. doi:10.1080/01431169408954340
   Web of Science ®Google Scholar
• Steinwand, D. R., Hutchinson, J. A., & Snyder, J. P. (1995). Map projections for global and continental data sets and an analysis of pixel distortion caused by reprojection. Photogrammetric Engineering & Remote Sensing, 61(12), 1487–1497.
   Web of Science ®Google Scholar
• Sun, S. (2016). Symbolize map distortion with inscribed circles in polygons. International Journal of Cartography, 2(2), 166–185. doi:10.1080/23729333.2016.1179863
   Google Scholar
• Times, T. (2014). The times comprehensive atlas of the world (14th ed.). Glasgow: Times Books.
   Google Scholar
• Tobler, W. R. (1962). A classification of map projections. Annals of the Association of American Geographers, 52(2), 167–175. doi:10.1111/j.1467-8306.1962.tb00403.x
   Web of Science ®Google Scholar
• Tobler, W. R. (1964). Geographical coordinate computations Part II: Finite map projection distortions (Technical Report No. 3, ONR Task no. 389-137). Ann Arbor, MI: University of Michigan Department of Geography.
   Google Scholar
• Tobler, W. R. (1987). Experiments in migration mapping by computer. American Cartographer, 14(2), 155–163. doi:10.1559/152304087783875273
   Web of Science ®Google Scholar
• Tobler, W. R. (1993). Three presentations on geographical analysis and modeling: Non- isotropic geographic modeling; speculations on the geometry of geography; and global spatial analysis (National Center for Geographic Information and Analysis Technical Report 93-1). Santa Barbara, CA: University of California.
   Google Scholar
• Tobler, W. R. (2008). Unusual map projections. Cartographic Perspectives, 59, 28–40. doi:10.14714/CP59.246
   Google Scholar
• Tyner, J. A. (2010). Principles of map design. New York: The Guilford Press.
   Google Scholar
• Unwin, D. J. (1996). GIS, spatial analysis and spatial statistics. Progress in Human Geography, 20(2), 540–551. doi:10.1177/030913259602000408
   Web of Science ®Google Scholar
• Usery, E. L., & Seong, J. C. (2000, August). A comparison of equal-area map projections for regional and global raster data. Paper presented at the 29th International Geographic Congress, Seoul, Korea.
   Google Scholar
• Usery, E. L., & Seong, J. C. (2001). All equal-area map projections are created equal, but some are more equal than others. Cartography and Geographic Information Science, 28(3), 183–193. doi:10.1559/152304001782153053
   Google Scholar
• White, D. (2006). Display of pixel loss and replication in reprojecting raster data from the sinusoidal projection. GeoCarto International, 21(2), 19–22. doi:10.1080/10106040608542379
   Google Scholar
• Zhao, H., Zhu, H., Li, L., & Xing, Y. (2007). COM-based expert system for map projection selection. In M. Li & J. Wang (Eds.), Geoinformatics 2007: Cartographic theory and models, proceedings of society of photo-optical instrumentation engineers (SPIE) Bellingham, WA: SPIE. doi:10.1117/12.759722
   Google Scholar