caa a22 4500 445331844 CHVBK 20180317142740.0 cr unu---uuuuu 170323e20110701xx s 000 0 eng 10.1007/s10707-010-0107-2 doi (NATIONALLICENCE)springer-10.1007/s10707-010-0107-2 Controlling patterns of geospatial phenomena [Elektronische Daten] [Tomasz Stepinski, Wei Ding, Christoph Eick] Modeling spatially distributed phenomena in terms of its controlling factors is a recurring problem in geoscience. Most efforts concentrate on predicting the value of response variable in terms of controlling variables either through a physical model or a regression model. However, many geospatial systems comprises complex, nonlinear, and spatially non-uniform relationships, making it difficult to even formulate a viable model. This paper focuses on spatial partitioning of controlling variables that are attributed to a particular range of a response variable. Thus, the presented method surveys spatially distributed relationships between predictors and response. The method is based on association analysis technique of identifying emerging patterns, which are extended in order to be applied more effectively to geospatial data sets. The outcome of the method is a list of spatial footprints, each characterized by a unique "controlling pattern”—a list of specific values of predictors that locally correlate with a specified value of response variable. Mapping the controlling footprints reveals geographic regionalization of relationship between predictors and response. The data mining underpinnings of the method are given and its application to a real world problem is demonstrated using an expository example focusing on determining variety of environmental associations of high vegetation density across the continental United States. Springer Science+Business Media, LLC, 2010 Predictors-response relationship nationallicence Association analysis nationallicence Mapping predicting relationship nationallicence Vegetation density nationallicence Data mining nationallicence Stepinski Tomasz Lunar and Planetary Institute, 77058, Houston, TX, USA aut Ding Wei Department of Computer Science, University of Massachusetts Boston, 02125-3393, Boston, MA, USA aut Eick Christoph Department of Computer Science, University of Houston, 77204-3010, Houston, TX, USA aut GeoInformatica Springer US; http://www.springer-ny.com 15/3(2011-07-01), 399-416 1384-6175 15:3<399 2011 15 10707 https://doi.org/10.1007/s10707-010-0107-2 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10707-010-0107-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Stepinski Tomasz Lunar and Planetary Institute, 77058, Houston, TX, USA aut NATIONALLICENCE 700 1- Ding Wei Department of Computer Science, University of Massachusetts Boston, 02125-3393, Boston, MA, USA aut NATIONALLICENCE 700 1- Eick Christoph Department of Computer Science, University of Houston, 77204-3010, Houston, TX, USA aut NATIONALLICENCE 773 0- GeoInformatica Springer US; http://www.springer-ny.com 15/3(2011-07-01), 399-416 1384-6175 15:3<399 2011 15 10707 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer