Spatially adaptive probabilistic computation of a sub-kilometre resolution lightning climatology for New Zealand
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- 作者：Thomas R. Etheringtona ; b ; c ; t.etherington@kew.org" class="auth_mail" title="E-mail the corresponding author ; George L.W. Perryc
- 关键词：Getis-Ord ; GIS ; Python ; Spatial autocorrelation ; Smoothing ; Wildfire
- 刊名：Computers & Geosciences
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：98
- 期：Complete
- 页码：38-45
- 全文大小：1657 K
文摘
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A sub-kilometre resolution lightning climatology is produced.
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Spatially adaptive probabilistic geocomputation methods are developed.
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Geocomputation workflow provided using an open-source Python approach.
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New Zealand has exceptionally low levels of lightning activity.