You normally install GWmodel from CRAN. However there are some times when this is not available. In this case use Github.
To install, we recommend the following steps are used to install from Github.
Paul Harris and Chris Brunsdon ran a short workshop at the 7th Channel Network Conference on July 10th 2019 which was hosted at Rothamsted.
Spatial statistics is an ever-expanding discipline providing analytical techniques for a wide range of disciplines in the natural and social/economic sciences. In this workshop, we’ll outline techniques from a particular branch of spatial statistics, termed geographically weighted (GW) models. GW models suit situations when data are not described well by some global model, but where there are spatial regions where a localised calibration provides a better description. The approach is moving window based, where localised models are found at target locations calibrated with weighted data subsets. Outputs are mapped and spatially-interrogated to provide insight into the nature of the data’s spatial heterogeneity. Core GW techniques include: GW summary statistics, GW principal components analysis, GW regression, GW generalised linear models and GW discriminant analysis (Gollini et al. 2015; JSS 63(17):1:50). This workshop will focus on GW regression, illustrated with applications in agriculture.
There is a workshop on GWPCA being run by Prof Lex Comber (Leeds) and Dr Paul Harris (Rothamsted) at the Spatial Accuracy meeting (Bejing, May 21-25, 2018).
Details of the conference workshops can be found at www.spatialaccuracy2018.org/workshops; information about the GWPCA session on Monday May 21 is towards the bottom of the page. The workshop timetable and content can also be found at github.com/harvid50/GWPCA_Workshops.
We will be running Geographically Weighted Principal Component Analysis workshops at the following conferences:
Spatial Accuracy 2018 (21-25 May – Beijing, China) The workshop will take place on Monday 21st May.
GIScience 2018 (28-31 August – Melbourne Australia).
We are also running a workshop on GW modelling and general spatial statistics at INIA, Uruguay.
This is the page that you’ll land on when you head for http://gwr.nuim.ie or http://gwr.maynoothuniversity.ie. We aim to keep it reasonably up-to-date.