ScholarGate
Асистент

Сравнение на методи

Прегледайте избраните методи един до друг; редовете с разлики са откроени.

Choropleth Classification×Geodemographic Classification×
ОбластHuman GeographyHuman Geography
СемействоProcess / pipelineProcess / pipeline
Година на възникване19672005
СъздателThematic cartography tradition (class-interval methods synthesized by Slocum et al.; Jenks's optimal method)Richard Webber (and the geodemographics tradition synthesized by Harris, Sleight & Webber)
ТипProcedure for grouping data values into ordered classes for a choropleth mapPipeline that clusters small areas into interpretable neighbourhood types
Основополагащ източникSlocum, 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: 9780132298346Harris, R., Sleight, P., & Webber, R. (2005). Geodemographics, GIS and Neighbourhood Targeting. John Wiley & Sons, Chichester. ISBN: 9780470864135
Други названияClass Interval Selection, Data Classification for Maps, Choropleth Class Breaks, Thematic Map ClassificationNeighbourhood Classification, Area Classification, Geodemographic Segmentation, Neighbourhood Typology
Свързани44
РезюмеChoropleth 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.Geodemographic classification is the process of grouping small geographic areas into a set of distinctive neighbourhood types according to the demographic, socioeconomic, and housing characteristics of the people who live there. It rests on the principle that 'birds of a feather flock together' — that residents of a neighbourhood tend to resemble one another and differ from those elsewhere — and turns dozens of census variables into a single, interpretable label for every area. Commercial systems such as Mosaic and ACORN and open classifications such as the UK Output Area Classification are all built this way, and the approach was consolidated as a discipline by Harris, Sleight and Webber in 2005.
ScholarGateНабор от данни
  1. v1
  2. 1 Източници
  3. PUBLISHED
  1. v1
  2. 1 Източници
  3. PUBLISHED

Към търсенето Изтегляне на слайдове

ScholarGateСравнение на методи: Choropleth Classification · Geodemographic Classification. Извлечено на 2026-06-24 от https://scholargate.app/bg/compare