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Exploring Distribution of Uranium in Ukraine: Geovisualization and Spatial Statistics

机译：乌克兰铀分布：地理化和空间统计

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Many powerful geovisualization and spatial statistical methods are available to reveal spatial patterns in distribution of various environmental indicators. This paper discusses several cartographic and geos tatistical techniques to explore patterns in spatial distribution of uranium in Ukraine and identify major factors contributing in particular distributions. The study resulted in a series of maps reflecting association between uranium and several environmental indicators.

机译：许多强大的地理化和空间统计方法可用于揭示各种环境指标分布的空间模式。本文讨论了几种制图和地磁初期技术，探讨了乌克兰铀空间分布的模式，并确定了特定分布的主要因素。该研究导致了一系列反映铀和几种环境指标之间的关联的地图。

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《International Cartographic Conference》|2013年||共10页
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作者
Michael Govorov; Victor Putrenko; Gennady Gienko;
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原文格式 PDF
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中图分类 P2-53;
关键词
Geovisualization; spatial statistics; environmental mapping;

机译：地理化;空间统计;环境映射;

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4. Exploring Distribution of Uranium in Ukraine: Geovisualization and Spatial Statistics [C] . Michael Govorov, Victor Putrenko, Gennady Gienko International Cartographic Conference . 2013

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5. Using spatial updating bias to explore the robustness of a collaborative geovisualization model. [D] . Ryan, John. 2006

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6. Heavy Metal and Metalloid Contamination Assessments of Soil around an Abandoned Uranium Tailings Pond and the Contaminations’ Spatial Distribution and Variability [O] . Wei-hong Wang, Xue-gang Luo, Zhe Wang, 2018

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Exploring Distribution of Uranium in Ukraine: Geovisualization and Spatial Statistics

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