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A Geostatistical Analysis of Soil, Vegetation, and Image Data Characterizing Land Surface Variation

Sarah Rodgers Orcid Logo, Margaret A Oliver

Geographical Analysis, Volume: 39, Issue: 2, Pages: 195 - 216

Swansea University Author: Sarah Rodgers Orcid Logo

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Published in: Geographical Analysis
ISSN: 0016-7363 1538-4632
Published: 2007
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URI: https://cronfa.swan.ac.uk/Record/cronfa1209
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spelling 2011-10-01T00:00:00.0000000 v2 1209 2011-10-01 A Geostatistical Analysis of Soil, Vegetation, and Image Data Characterizing Land Surface Variation e81e94dea293640575619d15baf34a35 0000-0002-4483-0845 Sarah Rodgers Sarah Rodgers true false 2011-10-01 HDAT Journal Article Geographical Analysis 39 2 195 216 0016-7363 1538-4632 31 12 2007 2007-12-31 10.1111/j.1538-4632.2007.00701.x Several spatial data analysis techniques are applied to remotely sensed imagery to delineate vegetation distribution indicating potential mosquito breeding sites in remote semi-arid West Africa. Methods can be used to detect changes in mosquito abundance and contribute to malaria epidemic and other infectious disease early-warning-systems. Role: design, analysis, writing. COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2011-10-01T00:00:00.0000000 2011-10-01T00:00:00.0000000 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Sarah Rodgers 0000-0002-4483-0845 1 Margaret A Oliver 2
title A Geostatistical Analysis of Soil, Vegetation, and Image Data Characterizing Land Surface Variation
spellingShingle A Geostatistical Analysis of Soil, Vegetation, and Image Data Characterizing Land Surface Variation
Sarah Rodgers
title_short A Geostatistical Analysis of Soil, Vegetation, and Image Data Characterizing Land Surface Variation
title_full A Geostatistical Analysis of Soil, Vegetation, and Image Data Characterizing Land Surface Variation
title_fullStr A Geostatistical Analysis of Soil, Vegetation, and Image Data Characterizing Land Surface Variation
title_full_unstemmed A Geostatistical Analysis of Soil, Vegetation, and Image Data Characterizing Land Surface Variation
title_sort A Geostatistical Analysis of Soil, Vegetation, and Image Data Characterizing Land Surface Variation
author_id_str_mv e81e94dea293640575619d15baf34a35
author_id_fullname_str_mv e81e94dea293640575619d15baf34a35_***_Sarah Rodgers
author Sarah Rodgers
author2 Sarah Rodgers
Margaret A Oliver
format Journal article
container_title Geographical Analysis
container_volume 39
container_issue 2
container_start_page 195
publishDate 2007
institution Swansea University
issn 0016-7363
1538-4632
doi_str_mv 10.1111/j.1538-4632.2007.00701.x
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
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active_str 0
published_date 2007-12-31T03:03:39Z
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score 11.016258