Extending LKN climate regionalization with spatial regularization: An application to epidemiological research.

Liss, Alexander.
Kulinkina, Alexandra V.
Naumova, Elena N.
Gel, Yulia R.
2016

Regional climate is a critical factor in public health research, adaptation studies, climate change burden analysis, and decision support frameworks. Existing climate regionalization schemes are not well suited for these tasks as they rarely take population density into account. In this work, we are extending our recently developed method for automated climate regionalization (LKN-method) to incor... read more

Subjects
Remote sensing.
Geographic information systems.
Environmental health.
Tufts University. Department of Civil and Environmental Engineering.
Permanent URL
http://hdl.handle.net/10427/009831
Original publication
Liss, A., Gel, Y. R., Kulinkina, A., and Naumova, E. N.: EXTENDING LKN CLIMATE REGIONALIZATION WITH SPATIAL REGULARIZATION: AN APPLICATION TO EPIDEMIOLOGICAL RESEARCH, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 209-213, doi:10.5194/isprs-archives-XLI-B8-209-2016, 2016.
ID: tufts:18593
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