Contribution of geomatics and spatial statistics for the mapping and analysis of depressions related to potential larvate locations in the health district of cocody-bingerville.The depressions or basins in the landscape constitute zones of water stagnation and present themselves as potential favorite zones for the female Anopheles mosquito to lay her eggs. This increases the vectorial capacity with the consequence of a risk of malaria attack for the population in the health district of Cocody-Bingerville. The objective of this study is to analyze the geostatistical distribution of depressions in order to contribute to vector control.Sheis based on geospatial and statistical analysis of depressions in said health district. Thus the integration and processing of AlosPalsar data of 12.5 m spatial resolution in a GIS and spatial autocorrelation techniques have been applied for the modeling of depression zones. The presence of local clusters was further assessed using Morans statistical index to assess the intensity of hot spots (High-High Cluster) and cold spots (Low-Low cluster).Local statistics from Moran I were used to perform cluster and value analysis in the spatial distribution of depressions in the landscape. It reveals a z-score of 56.91 and a Morans index of 0.07. These positive statistical values attest that the observed phenomenon is highly dependent on the topography, hence the groupings or clustering of the depressions.