Abstract
Advantages of dasymetric map over traditional choropleth map have been well documented in many cartographic journals. Dasymetric uses ancillary dataset to create smaller geographical unit of population. In fact, the smaller geographical unit of population data is required for effective disaster management, emergency preparedness, retail market competition, health and disease studies, crime analysis and other population data analysis at micro-scale level. In this chapter, we discuss new dasymetric mapping technique based on GIS estimated building population which was computed from building footprints, census tract and LIDAR derived Digital Volume Model DVM.
This chapter is improved from “Ko Ko Lwin and YujiMurayama (2010), Development of GIS tool for dasymetric mapping. International Journal of Geoinformatics, 6, 11–18”, with permission from Association for Geoinformation Technology.
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Lwin, K.K., Murayama, Y. (2011). Estimation of Building Population from LIDAR Derived Digital Volume Model. In: Murayama, Y., Thapa, R. (eds) Spatial Analysis and Modeling in Geographical Transformation Process. GeoJournal Library, vol 100. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0671-2_6
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DOI: https://doi.org/10.1007/978-94-007-0671-2_6
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