2000
DOI: 10.1016/s0098-3004(99)00035-7
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Visual exploration of high-dimensional spatial data: requirements and deficits

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Cited by 8 publications
(1 citation statement)
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“…Considering geospatial information, there is a huge number of data available and for a variety of sectors (economy, society, policies, EE, technologies). However, these are not in any manner homogeneous, so there data require the possibility to visualized and analysed as high dimensional geo-reference data (Penn, 2005;Uhlenküken, Schmidt, & Streit, 2000). Some of these problems, often related with the explanation of complex spatial phenomena, require an extensive exploratory data analysis based on the search of unknown patterns and spatial relationship without a priori hypotheses.…”
Section: Nomenclaturementioning
confidence: 99%
“…Considering geospatial information, there is a huge number of data available and for a variety of sectors (economy, society, policies, EE, technologies). However, these are not in any manner homogeneous, so there data require the possibility to visualized and analysed as high dimensional geo-reference data (Penn, 2005;Uhlenküken, Schmidt, & Streit, 2000). Some of these problems, often related with the explanation of complex spatial phenomena, require an extensive exploratory data analysis based on the search of unknown patterns and spatial relationship without a priori hypotheses.…”
Section: Nomenclaturementioning
confidence: 99%