In this thesis, I conducted spatial analyses using remotely sensed satellite imagery from Landsat 7, land use data for Slovenia from 2011 and 2012, the layer of relief DMV12.5 and telemetry data on wolf occurrences in Slovenia obtained as part of the SloWolf project. For the necessary spatial analyses, I used wolf movement data for the wolf named Luka in August 2011, September 2011, November 2011, January 2012 and February 2012. The input data for the occurrence density plot were telemetry data in a point-vector layer format. With the QGIS plugin Density Analysis, I created density visualisations using H3 hexagons. Further analysis was conducted on these hexagons to examine regional statistics. I calculated the average normalised difference vegetation index (NDVI), the average slope of the hexagon, the average elevation and the predominant land use in each hexagon. I then created visualisations that simultaneously displayed the density of Luka's occurrence and the average NDVI, slope, elevation and land use within each hexagon. The analyses carried out in QGIS were supplemented by analyses and diagrams created using Microsoft Excel. Based on the results obtained, I found that wolves tend to move through forests with lower NDVI values or less vegetated areas. In terms of terrain, they prefer relatively flat areas with 10° and 20° slopes and altitudes between 800 and 1000 metres above sea level.