No Cover Image

Journal article 896 views

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

Full text not available from this repository: check for access using links below.

Check full text

DOI (Published version): 10.1111/j.1538-4632.2007.00701.x

Published in: Geographical Analysis
ISSN: 0016-7363 1538-4632
Published: 2007
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa1209
first_indexed 2013-07-23T11:46:36Z
last_indexed 2018-02-09T04:28:13Z
id cronfa1209
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2011-10-01T00:00:00.0000000</datestamp><bib-version>v2</bib-version><id>1209</id><entry>2011-10-01</entry><title>A Geostatistical Analysis of Soil, Vegetation, and Image Data Characterizing Land Surface Variation</title><swanseaauthors><author><sid>e81e94dea293640575619d15baf34a35</sid><ORCID>0000-0002-4483-0845</ORCID><firstname>Sarah</firstname><surname>Rodgers</surname><name>Sarah Rodgers</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2011-10-01</date><deptcode>MEDS</deptcode><abstract></abstract><type>Journal Article</type><journal>Geographical Analysis</journal><volume>39</volume><journalNumber>2</journalNumber><paginationStart>195</paginationStart><paginationEnd>216</paginationEnd><publisher/><placeOfPublication/><issnPrint>0016-7363</issnPrint><issnElectronic>1538-4632</issnElectronic><keywords/><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2007</publishedYear><publishedDate>2007-12-31</publishedDate><doi>10.1111/j.1538-4632.2007.00701.x</doi><url/><notes>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.</notes><college>COLLEGE NANME</college><department>Medical School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDS</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2011-10-01T00:00:00.0000000</lastEdited><Created>2011-10-01T00:00:00.0000000</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>Sarah</firstname><surname>Rodgers</surname><orcid>0000-0002-4483-0845</orcid><order>1</order></author><author><firstname>Margaret A</firstname><surname>Oliver</surname><order>2</order></author></authors><documents/><OutputDurs/></rfc1807>
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 MEDS 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 Medical School COLLEGE CODE MEDS 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
document_store_str 0
active_str 0
published_date 2007-12-31T09:43:55Z
_version_ 1850660970064510976
score 11.08899

Similar Items