Using Geoinformatics to Identify Suitable Middle to Long Distance Athletics’ Training Sites in Kenya.

Abstract

Kenyan athletes have continued to dominate middle and long distance running in the global arena for a very long time now. In this study, the use of geoinformation in selecting suitable training sites for endurance running was investigated. The study area chosen was Keiyo district within the Rift Valley province in Kenya, where a considerable number of the top Kenyan athletes reside and train. Different geospatial data sources were used and relevant criteria selected. Geographic Information Systems (GIS) was employed as the basic tool for modeling and analysis. For each of the 11 regions within the study area, weights were allocated to each of the multiple criteria identified. The Analytical Hierarchy Process (AHP) was used to determine the overall suitability-ranking index. From the results and analysis performed the regions of Iten, Tambach, Kaptarakwa and Kapkenda respectively were ranked as suitable areas for High-Low training. Kamwosor, Chepkorio, Iten and Kaptarakwa respectively were identified as ideal regions for altitude training. Nyaru and Metkei were determined to be unsuitable for both High-Low and altitude training regimens. The approach formulated in this study can be applied to other areas to enable athletes and coaches to identify suitable training sites