Dasymetric Mapping in arcgis II Dasymetric Mapping tutorial II Dasymetric map vs choropleth map

In this tutorial, you can learn about Dasymetric Mapping in arcgis II Dasymetric Mapping tutorial II Dasymetric map vs choropleth map. The process of dasymetric mapping analysis in Arcgis and dasymetric mapping techniques.

Dasymetric mapping attempts to correct the flaws of choropleth mapping. This approach can fairly accurately portray the true nature of surface variations better than the polygon overlays of choropleth by adding additional geographical information such as road networks or remotely sensed data. For example, overlaying air photos with the enumeration areas will partially determine where there are unpopulated areas which should, therefore, be removed from the total land area used to calculate population density.
Choropleth maps are traditionally used to map socioeconomic variables, such as population density or other types of census data. Enumeration areas are the most common mapping units for choropleth as they make up the smallest polygons. There are three significant problems associated with choropleth maps that must be addressed. First, the enumeration areas are arbitrarily determined for data collection convenience, subsequently creating large polygons for regions where the population density is low and small polygons for regions where there is high population density. Second, the enumeration areas act as low-pass filters, generalizing the highs and the lows and removing the spatial specialization. Because boundaries are arbitrary, they will not convey any significance to the data, therefore attention is paid towards the size of the polygons rather than on the data conveyed. Lastly, enumeration areas do not differentiate physiographic entities such as parks, lakes, streams, roads, forested and agricultural areas. Consequently, this is incorrect as these areas are populated.

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