caa a22 4500 467928118 CHVBK 20180406152935.0 cr unu---uuuuu 170328e20060701xx s 000 0 eng 10.1007/s10109-006-0019-8 doi (NATIONALLICENCE)springer-10.1007/s10109-006-0019-8 Dungan Jennifer MS 242-4 NASA Ames Research Center, NASA, 94035-1000, Moffett Field, CA, USA aut Focusing on feature-based differences in map comparison [Elektronische Daten] [Jennifer Dungan] Differences between two maps can be quantified using any cartometric summary; of these, feature-based statistics are potentially more relevant than pixel-based statistics. Distributions of feature areas and shape indices from the workshop maps were compared using a classic information theory index. To place differences in a significance context, uncertainty about cartometrics that arise from both the form of data model and mapping function are considered. Data model characteristics such as raster cell size, raster origin and attribute membership functions can generate variation without the existence of feature differences in the actual surfaces. Stochastic simulation can represent uncertainty due to the mapping function. An understanding of the end-to-end map generation process, absent in the workshop example, can help build a description of its space of uncertainty so that cartometric quantities can be meaningfully compared. Springer-Verlag, 2006 Journal of Geographical Systems Springer-Verlag 8/2(2006-07-01), 131-143 1435-5930 8:2<131 2006 8 10109 https://doi.org/10.1007/s10109-006-0019-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10109-006-0019-8 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Dungan Jennifer MS 242-4 NASA Ames Research Center, NASA, 94035-1000, Moffett Field, CA, USA aut NATIONALLICENCE 773 0- Journal of Geographical Systems Springer-Verlag 8/2(2006-07-01), 131-143 1435-5930 8:2<131 2006 8 10109 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer