Geographical weighting as a further refinement to regression modelling: An example focused on the NDVI–rainfall relationship
- 1 December 2003
- journal article
- Published by Elsevier in Remote Sensing of Environment
- Vol. 88 (3) , 283-293
- https://doi.org/10.1016/j.rse.2003.08.004
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regionsRemote Sensing of Environment, 2003
- An improved strategy for regression of biophysical variables and Landsat ETM+ dataRemote Sensing of Environment, 2002
- A General Framework for Estimation and Inference of Geographically Weighted Regression Models: 2. Spatial Association and Model Specification TestsEnvironment and Planning A: Economy and Space, 2002
- A General Framework for Estimation and Inference of Geographically Weighted Regression Models: 1. Location-Specific Kernel Bandwidths and a Test for Locational HeterogeneityEnvironment and Planning A: Economy and Space, 2002
- Spatial variations in the average rainfall–altitude relationship in Great Britain: an approach using geographically weighted regressionInternational Journal of Climatology, 2001
- Estimating relations between AVHRR NDVI and rainfall in East Africa at 10-day and monthly time scalesInternational Journal of Remote Sensing, 1998
- Global analysis of empirical relations between annual climate and seasonality of NDVIInternational Journal of Remote Sensing, 1998
- A statistical study of NDVI sensitivity to seasonal and interannual rainfall variations in Southern AfricaInternational Journal of Remote Sensing, 1998
- The influence of soil type on the relationships between NDVI, rainfall, and soil moisture in semiarid Botswana. I. NDVI response to rainfallRemote Sensing of Environment, 1994
- Expansion and Contraction of the Sahara Desert from 1980 to 1990Science, 1991