Therefore we created a model using QGIS, that generates a map showing the best suitable location for bees in the study area Dresden.
There are several criteria that need to be considered when choosing a location for a beehive. Due to these results we decided to use the Multi-Criteria Method for our model. This gives us the possibility to consider multiple criteria at once.
| Criteria | Examples |
|---|---|
| sun exposure | ideally South-East |
| disruptions | energy-poles, industrial sites,... |
| food-sources | flowers, fields, trees,... |
| windbreak | trees, bushes,... |
| water-source | preferably standing water |
| slope | higher slope=less cold air |
Downloading Data (all of the necessary files contained in data):
- OSM (disruption, food-sources, windbreak, water-source):
-> ohsome API (use the api_bees.bat) - DEM (slope, aspect):
-> srtm-data (srtm_39_01.zip source) - Dresden (administrative border):
-> geodaten-sachsen (dresden.zip source)
Clone this respository to your computer so you have all the data and scripts available.
The given API script (api_bees.bat) downloads a part of the needed data. The script gives informations on how to change the study area that this model is being tested on. The containing bounding-box downloads the data for the city of dresden.
after this step you will have all the needed data available: - disruptions_2021.geojson - food_2021.geojson - water_2021.geojson - windbreak_2021.geojson - desden.shp - srtm_39_01.tif
Open all these layers in your QGIS Software.
There are two possible ways of executing this model:
1. Using the given model (model_multicriteria.model3) - gives easy and visual overview of the process - suitable for less experienced users
2. Using the given script (bees.py) - fast processing - overview over commands
Both ways are available in the QGIS Toolbox.