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SAKWeb – Spatial autocorrelation and kriging web, a W3 geocomputation perspective
Orientador(es)
Resumo(s)
The present research focuses on the first software to offer spatial autocorrelation
and association measures, spatial exploratory tools, variography and Ordinary
Kriging (OK) in the World Wide Web. Exploiting IE®, ASP®, PHP® and IIS®
capabilities, SAKWeb© version 2.0 was designed in an attractive and
straightforward way for everyone’s use. Major commercial off-the-shelf spatial
software is reviewed to confirm SAKWeb© improvements. As confirmed by Green
and Bossomaier [2002], “it is essential for geographical studies to provide basic
spatial autocorrelation indices and significance test computer programs for
personal computers”.
Spatial autocorrelation can provide an Exploratory Spatial Data Analysis (ESDA)
tool for atypical locations, trends, transition regions and spatial patterns. The
weight matrix (W) is assessed on the basis of the covariogram contiguity. In
accordance with various distance ranges, SAKWeb© selects the one with the
highest global Moran I to setup the conventional and the Moran location
scatterplot. In addition, the Moran I correlogram may lead to a re-estimation
process of the best variogram range, sill, model and nugget-effect factors. Some of
the possibilities are dropping outliers, tracing patterns of quadrants I and III,
highlighting transition samples or maintaining the original dataset. IDW is also
stressed as a poor method for W specification. Nearest neighborhood analysis and
brushing operations are added features for enhanced dataset familiarity.(...)
Descrição
A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Information Management, specialization in Information Technologies
Palavras-chave
Geographical information systems Spatial analysis Geostatistics Spatial autocorrelation Spatial interpolation Kriging