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Spatial Prediction with Categorical Response Variables
| Content Provider | Semantic Scholar |
|---|---|
| Author | Charlton, Martin Brunsdon, Chris Harris, Paul Comber, Lex |
| Copyright Year | 2018 |
| Abstract | Discriminant analysis (DA) is a useful multivariate tool when the response variable is categorical. While logistic regression may be used when the response variable has two categories, discriminant analysis can be appropriate when there are more than two categories. We outline an extension of linear and quadratic DA to allow for geographical weighting. We discuss how the output from GDWA may be displayed, including the use of geographically weighted crosstabulations. An example dataset extracted from the FAO Global Land Cover map is used to illustrate GWDA in practice. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://gisruk.org/ProceedingsGISRUK2018/GISRUK2018_Contribution_024.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
