MODELING CLIMATE FOR ECOLOGICAL STUDIES IN SOUTHERN KENYA

Show simple item record

dc.contributor.author Wango, T
dc.contributor.author Ndegwa, C. M.
dc.contributor.author Musiega, D.
dc.date.accessioned 2017-05-19T13:45:10Z
dc.date.available 2017-05-19T13:45:10Z
dc.date.issued 2017-05-19
dc.identifier.isbn 9966 923 28
dc.identifier.uri http://journals.jkuat.ac.ke/index.php/jscp/article/view/1038
dc.identifier.uri http://hdl.handle.net/123456789/3114
dc.description.abstract Ecological studies often use Geographic Information System (GIS) models to predict or explain biogeographicalpatterns and range distributions of various species. Climatic data are often interpolated into high resolution spatialGIS layers to be used in GIS models. The wildlife rich Southern Kenya, generally characterized by two dry seasonsand two wet seasons, has a sparse and irregularly spaced network of weather stations, presenting a challenge forecologists who intend to use climatic data in their models. The suitability of Regression Analysis (RA) to interpolateclimatic surface models for this region at various temporal scales was examined using analysis of variance(ANOVA). It was found that for all but one wet season, precipitation could be accurately modeled using RA.ANOVA results also indicated that it was possible to accurately model temperature at various temporal scales. en_US
dc.description.sponsorship JKUAT en_US
dc.language.iso en en_US
dc.publisher JKUAT en_US
dc.relation.ispartofseries Proceedings of the 2013 JKUAT Scientific Technological and Industrialization Conference;14-15th November 2013
dc.subject GIS en_US
dc.subject regression analysis en_US
dc.subject analysis of variance en_US
dc.subject JKUAT en_US
dc.subject Kenya en_US
dc.title MODELING CLIMATE FOR ECOLOGICAL STUDIES IN SOUTHERN KENYA en_US
dc.type Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search Repository


Browse

My Account