Use of GIS to analyse the impacts of controlling trypanosomosis

Better data: currently, the quality of GIS analyses is constrained by poor data on the distribution of current tsetse populations, non-human and human trypanosomosis prevalence, livestock population densities, agricultural production, biodiversity, soil fertility, land-use, infrastructure, income, m...

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Detalles Bibliográficos
Autores principales: Okello, O.O., Kruska, Russell L., Reid, Robin S.
Formato: Conference Paper
Lenguaje:Inglés
Publicado: OAU/STRC 1999
Materias:
Acceso en línea:https://hdl.handle.net/10568/51292
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author Okello, O.O.
Kruska, Russell L.
Reid, Robin S.
author_browse Kruska, Russell L.
Okello, O.O.
Reid, Robin S.
author_facet Okello, O.O.
Kruska, Russell L.
Reid, Robin S.
author_sort Okello, O.O.
collection Repository of Agricultural Research Outputs (CGSpace)
description Better data: currently, the quality of GIS analyses is constrained by poor data on the distribution of current tsetse populations, non-human and human trypanosomosis prevalence, livestock population densities, agricultural production, biodiversity, soil fertility, land-use, infrastructure, income, markets, etc. More and better analysis: most of the current focus is on the production of maps, with little use of powerful GIS analysis tools. Better use needs to be made of exploratory analysis techniques, statistical analyses, spatial data analysis. Integration with other modelling tools: To date, GIS software does not incorporate tools to model system dynamics. GIS tools need to be better linked with other analysis tools to improve our understanding of system change after tsetse control.
format Conference Paper
id CGSpace51292
institution CGIAR Consortium
language Inglés
publishDate 1999
publishDateRange 1999
publishDateSort 1999
publisher OAU/STRC
publisherStr OAU/STRC
record_format dspace
spelling CGSpace512922024-03-06T10:16:43Z Use of GIS to analyse the impacts of controlling trypanosomosis Okello, O.O. Kruska, Russell L. Reid, Robin S. trypanosomiasis disease control geographic information systems Better data: currently, the quality of GIS analyses is constrained by poor data on the distribution of current tsetse populations, non-human and human trypanosomosis prevalence, livestock population densities, agricultural production, biodiversity, soil fertility, land-use, infrastructure, income, markets, etc. More and better analysis: most of the current focus is on the production of maps, with little use of powerful GIS analysis tools. Better use needs to be made of exploratory analysis techniques, statistical analyses, spatial data analysis. Integration with other modelling tools: To date, GIS software does not incorporate tools to model system dynamics. GIS tools need to be better linked with other analysis tools to improve our understanding of system change after tsetse control. 1999 2014-10-31T06:22:22Z 2014-10-31T06:22:22Z Conference Paper https://hdl.handle.net/10568/51292 en Limited Access OAU/STRC
spellingShingle trypanosomiasis
disease control
geographic information systems
Okello, O.O.
Kruska, Russell L.
Reid, Robin S.
Use of GIS to analyse the impacts of controlling trypanosomosis
title Use of GIS to analyse the impacts of controlling trypanosomosis
title_full Use of GIS to analyse the impacts of controlling trypanosomosis
title_fullStr Use of GIS to analyse the impacts of controlling trypanosomosis
title_full_unstemmed Use of GIS to analyse the impacts of controlling trypanosomosis
title_short Use of GIS to analyse the impacts of controlling trypanosomosis
title_sort use of gis to analyse the impacts of controlling trypanosomosis
topic trypanosomiasis
disease control
geographic information systems
url https://hdl.handle.net/10568/51292
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