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Geoinformatics & Geostatistics: An OverviewISSN: 2327-4581

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Modelling the Distribution of Suitable Glossina Spp. Habitat in the North Western parts of Zimbabwe Using Remote Sensing and Climate Data

Modelling the Distribution of Suitable Glossina Spp. Habitat in the North Western parts of Zimbabwe Using Remote Sensing and Climate Data

For eradicating vector borne diseases, earth observation and geoinformation sciences are adding the crucial component of spatial extrapolation from ground observations. For monitoring tsetse flies (Glossina spp.) prevalence in the environment the maximum entropy (MAXENT) technique, presence-only method, was used to map the distribution of their suitable habitat based on remotely sensed vegetation cover and elevation, as well as temperature and rainfall data, derived from WorldClim datasets.

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