Geographical kernel weighting is proposed as a method for deriving local summary statistics from geographically weighted point data. These local statistics are then used to visualise geographical variation in the statistical distribution of variables of interest. Univariate and bivariate summary statistics are considered, for both moment-based and order-based approaches. Several aspects of visualisation are considered. Finally, an example based on house price data is presented.
- Geographical kernel weighting
- Localised exploratory data analysis
ASJC Scopus subject areas
- Ecological Modeling
- Environmental Science(all)
- Geography, Planning and Development