Geographically weighted regression-based determinants of malaria incidences in northern China

Geographically weighted regression-based determinants of malaria incidences in northern China

© 2016 John Wiley & Sons Ltd Geographically weighted regression (GWR) is an important local method to explore spatial non-stationarity in data relationships. It has been repeatedly used to examine spatially varying relationships between epidemic diseases and predictors. Malaria, a serious para...

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Bibliographic Details
Main Authors: Ge, Y., Song, Yongze, Wang, J., Liu, W., Ren, Z., Peng, J., Lu, B.
Format: Journal Article
Language:English
Published: WILEY 2017
Subjects:
Social Sciences
Geography
geographically weighted regression
local determinants examination
malaria incidence
remote sensing monitoring data
spatial analysis models
CLIMATE-CHANGE
TEMPERATURE
MODELS
TRANSMISSION
ENVIRONMENT
ASSOCIATION
POPULATION
INFECTION
HIGHLANDS
CHILDREN
Online Access:http://hdl.handle.net/20.500.11937/77023

Internet

http://hdl.handle.net/20.500.11937/77023

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