Порівняння методів

	Choropleth Classification	Dasymetric Mapping
Галузь	Human Geography	Human Geography
Родина	Process / pipeline	Process / pipeline
Рік появи	1967	2003
Автор методу	Thematic cartography tradition (class-interval methods synthesized by Slocum et al.; Jenks's optimal method)	J. K. Wright (introduced 1936); modern surface method by Jeremy Mennis
Тип	Procedure for grouping data values into ordered classes for a choropleth map	Cartographic areal-interpolation technique using ancillary data
Основоположне джерело	Slocum, T. A., McMaster, R. B., Kessler, F. C., & Howard, H. H. (2009). Thematic Cartography and Geovisualization (3rd ed.). Pearson Prentice Hall, Upper Saddle River, NJ. ISBN: 9780132298346	Mennis, J. (2003). Generating surface models of population using dasymetric mapping. The Professional Geographer, 55(1), 31–42.
Інші назви	Class Interval Selection, Data Classification for Maps, Choropleth Class Breaks, Thematic Map Classification	Dasymetric Map, Dasymetric Interpolation, Ancillary-Based Areal Interpolation, Population Surface Mapping
Пов'язані	4	4
Підсумок	Choropleth classification is the cartographic procedure of grouping the values of a quantitative variable into a small number of ordered classes so that areas can be shaded on a thematic map. Because a continuous distribution must be reduced to a handful of colour categories, the choice of how many classes to use and where to place the break values strongly shapes the map's message — the same data can look uniform or sharply divided depending on the scheme. Standard methods include equal interval, quantile, Jenks natural breaks, standard deviation, and head/tail breaks, each making different assumptions about what pattern the map should reveal.	Dasymetric mapping is a cartographic and areal-interpolation technique that redistributes data reported for arbitrary administrative zones — such as census counts — onto more meaningful boundaries derived from ancillary information about where the phenomenon actually occurs. Instead of pretending population is spread evenly across a census tract, it uses land cover or land use to push people into the residential parts and out of lakes, parks, and industry, producing a far more realistic population surface while preserving each zone's reported total.