Human actions have led to abnormal changes in temperature in the past 50 years due to climate variability. For efficient planning and management of agricultural and economic activities, understanding and forecasting the spatial variation of climate data particularly temperature is very important. Local technique and the geo-statistical procedure were assessed for temperature mapping in the study area, using 46 temperature stations in West Africa between the years 2002 to 2017. The annual temperature within the region was retrieved within two seasons, rainy and dry seasons, to justify the comparison between two interpolation methods. Distinct interpolation techniques reveal that all methods have similar performance considering the error statistics but at the same time give satisfactory results.
Seyilnan et al. (Thu,) studied this question.
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