Comparar métodos

	Dasymetric Mapping	Spatial Gini Concentration Index
Área	Human Geography	Human Geography
Família	Process / pipeline	Process / pipeline
Ano de origem	2003	1991
Autor original	J. K. Wright (introduced 1936); modern surface method by Jeremy Mennis	Corrado Gini (coefficient); locational adaptation in regional science / economic geography
Tipo	Cartographic areal-interpolation technique using ancillary data	Descriptive index of how unevenly an activity is distributed across space
Fonte seminal	Mennis, J. (2003). Generating surface models of population using dasymetric mapping. The Professional Geographer, 55(1), 31–42.	Duncan, O. D., & Duncan, B. (1955). A methodological analysis of segregation indexes. American Sociological Review, 20(2), 210–217.
Outros nomes	Dasymetric Map, Dasymetric Interpolation, Ancillary-Based Areal Interpolation, Population Surface Mapping	Locational Gini Coefficient, Spatial Gini Index, Geographic Concentration Index, Gini Index of Spatial Inequality
Relacionados	4	4
Resumo	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.	The spatial (or locational) Gini concentration index adapts the classic Gini coefficient to geography, summarizing in a single number between zero and one how unevenly an activity — an industry, a population group, a resource — is distributed across spatial units relative to a benchmark such as total population or land area. It is the workhorse measure for quantifying geographic concentration and agglomeration in economic geography.