Porovnať metódy

	Dasymetric Mapping	Space-Time Cube
Odbor	Human Geography	Human Geography
Rodina	Process / pipeline	Process / pipeline
Rok vzniku	2003	1970
Tvorca	J. K. Wright (introduced 1936); modern surface method by Jeremy Mennis	Torsten Hägerstrand (time geography); cube popularized by Menno-Jan Kraak
Typ	Cartographic areal-interpolation technique using ancillary data	Spatiotemporal data structure and visualization framework
Pôvodný zdroj	Mennis, J. (2003). Generating surface models of population using dasymetric mapping. The Professional Geographer, 55(1), 31–42.	Hägerstrand, T. (1970). What about people in regional science? Papers of the Regional Science Association, 24(1), 6–21.
Ďalšie názvy	Dasymetric Map, Dasymetric Interpolation, Ancillary-Based Areal Interpolation, Population Surface Mapping	Hägerstrand Space-Time Cube, Space-Time Aquarium, Spatiotemporal Cube, Time-Geographic Cube
Príbuzné	4	4
Zhrnutie	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 space-time cube is a framework from time geography for representing and analyzing phenomena that move and change over both space and time. Two horizontal axes carry geographic location and a vertical axis carries time, so each observation becomes a point in a three-dimensional x–y–t volume and a moving object traces a continuous 'space-time path' through the cube. Introduced conceptually by Torsten Hägerstrand in 1970 and turned into a practical analytic and cartographic tool by Menno-Jan Kraak, it underpins modern spatiotemporal hot-spot and trajectory analysis.