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| Choropleth Classification× | Dasymetric Mapping× | |
|---|---|---|
| Campo | Human Geography | Human Geography |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 1967 | 2003 |
| Ideatore≠ | 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 |
| Tipo≠ | Procedure for grouping data values into ordered classes for a choropleth map | Cartographic areal-interpolation technique using ancillary data |
| Fonte seminale≠ | 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. DOI ↗ |
| Alias | Class Interval Selection, Data Classification for Maps, Choropleth Class Breaks, Thematic Map Classification | Dasymetric Map, Dasymetric Interpolation, Ancillary-Based Areal Interpolation, Population Surface Mapping |
| Correlati | 4 | 4 |
| Sintesi≠ | 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. |
| ScholarGateInsieme di dati ↗ |
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