Dasymetric Mapping
A method for improving thematic mapping accuracy by using ancillary data to refine the spatial distribution of data values.
Explain the concept of Dasymetric Mapping?
Dasymetric mapping is a cartographic approach that refines the distribution of data within spatial units to produce thematic maps that are more accurate. Dasymetric mapping employs extra data, such as land use, vegetation, or built-up areas, to more accurately predict where the data happens rather than assuming that a variable (like population or income) is distributed uniformly across a whole area (like a county or census tract).
Dasymetric maps that incorporate this additional data offer a more realistic and lucid representation of spatial patterns, enhancing the accuracy of research and decision-making in domains such as public health, environmental studies, and urban planning.
Related Keywords
By redistributing data, such as population, using land use or other geographic information, dasymetric mapping in GIS improves choropleth maps and provides a more accurate spatial depiction.
Choropleth maps conceal internal variance by shading administrative areas according to data. Dasymetric maps more precisely depict patterns within such areas by utilizing other data, such as land use.
In order to more properly distribute values among areas and display realistic patterns beyond uniform bounds, dasymetric mapping makes use of extra data, such as land use.
Using additional data, such as land use, dasymetric mapping fine-tunes the distribution of data; for example, it displays the population exclusively in residential areas rather than in forests or water.