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Dasymetric Mapping×Accessibility Analysis×
TudományterületHuman GeographyHuman Geography
MódszercsaládProcess / pipelineProcess / pipeline
Keletkezés éve20031959
MegalkotóJ. K. Wright (introduced 1936); modern surface method by Jeremy MennisWalter G. Hansen
TípusCartographic areal-interpolation technique using ancillary dataSpatial index of the ease of reaching opportunities from a location
AlapműMennis, J. (2003). Generating surface models of population using dasymetric mapping. The Professional Geographer, 55(1), 31–42. DOI ↗Hansen, W. G. (1959). How accessibility shapes land use. Journal of the American Institute of Planners, 25(2), 73–76. DOI ↗
Alternatív nevekDasymetric Map, Dasymetric Interpolation, Ancillary-Based Areal Interpolation, Population Surface MappingHansen Accessibility, Gravity Accessibility Measure, Potential Accessibility, Spatial Accessibility Index
Kapcsolódó44
ÖsszefoglalóDasymetric 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.Accessibility analysis measures how easily opportunities — jobs, shops, clinics, parks — can be reached from a given location, combining the attractiveness (size) of destinations with the cost of travelling to them. The gravity-based formulation introduced by Walter Hansen in 1959 sums the opportunities at all destinations, each discounted by a distance-decay function of travel cost, producing a single accessibility score per origin that has become a foundational concept in transport geography and urban planning.
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ScholarGateMódszerek összehasonlítása: Dasymetric Mapping · Accessibility Analysis. Letöltve 2026-06-25, forrás: https://scholargate.app/hu/compare