6.9. Case study – zonal statistics with land cover properties

Until now, several concepts and tools in ArcGIS have been introduced. Now, to combine some of the different tasks discussed, a case study will be presented. Within this short case study, geostatistical relationships between honey bee colonies and land cover properties will be calculated. The content of this case study is equal to the one for QGIS (see section 7.9.), but adapted to the tools of ArcGIS. The prerequisite for this case study is an ArcMap document (see section 6.3.) with a point vector layer (e.g. the honey bee colony locations colony_locations.shp, created in section and a buffer polygon layer (e.g. buffer.shp, created in section In this case study, the percentages of land cover types within 2 km radii of honey bee colony locations will be calculated. This will allow the user to obtain information about forage availability near colony locations.  First,  you will go through the process of downloading the Corine (which means “coordination of information on the environment”) Land Cover 2006 (CLC06) dataset from an online source. The CLC06 layer is a free 100 m resolution raster representing 50 different land cover classifications for the continent of Europe including, agricultural areas, forests, wetlands, and water bodies (for more information see http://sia.eionet.europa.eu/CLC2006). This layer will then be projected to the Swiss coordinate system and clipped to the study region around Fribourg, Switzerland in order to make analysis and map rendering more time efficient. You will then learn how to assign land cover codes and a predefined colour scheme to the CLC06 layer and how to optimise the layer for the study region. After, raster calculator will be used to calculate conditional rasters which will be used as the basis of the statistical analysis for determining land cover types within the 2 km radii surrounding each honey bee colony location.

6.9.10. Visualisation of attributes using graphs and charts