An analysis tool for monitorce.nl
If you have Git or any other related software (GitHub Desktop, GitKraken etc.), clone the repo in your computer with the command:
(git clone) https://github.com/geoFluxus/insights-data.git
Make sure that Python3 is installed in your computer. To check that, open a terminal and insert the command:
python --version
If the command is recognized, the currentrly installed version of Python should appear in your screen. Once you have verified that Python3 is properly installed, enter the following command to download the necessary dependencies:
pip3 install -r requirements.txt
(If you wish to set up a Python virtual environment instead, please check the instructions here).
The major analysis tool we use for spatial data is geopandas. If the installation through requirements.txt fails, follow the instructions below:
- For Windows: To install geopandas, visit this site and download in the given order the windows binaries
for GDAL, pyproj,
Fiona, Shapely,
geopandas and Rtree.
Make sure you choose the wheel files that match your architecture (win32, win_amd64) and Python version (cp39, cp38). To install each of the binaries,
use the command:
pip install path/to/binary. In the end, do not forget to install any of the packages in the requirements.txt not mentioned here.
Before running any analysis, make sure you have access to the geoFluxus site on AWS WorkDocs and you have install WorkDocs Drive. For any issues on installing WorkDocs Drive on Windows, please check here.
The analysis consists of the following scripts:
- overview.py: Exports data for the Overzicht page to overview.json
- materials.py: Exports data for the Materialen page to materials.json
- goals.py: Exports data for the Nationale doelen section of the Doelen en vooruitgang to household.json
- networkmap.py: Exports data for the Emissies section of the Doelen en vooruitgang to overview_co2_network.json.
Provides also data on the section highlights.
- actions.py: Exports data for the Handelingsperspectieven page to actions.json
- flowmaps.py: Exports data for the flowmaps of the Handelingsperspectieven page to overview_activities_flowmap.json
and overview_processes_flowmap.json
- highlights.py: Produces data for the highlights in the Overzicht & Materialen pages
| Script | Page | Export file |
|---|---|---|
| overview | Overzicht | overview.json |
| materials | Materialen | materials.json |
| goals | Doelen en vooruitgang (Nationale Doelen) | household.json |
| networkmap | Doelen en vooruitgang (Emissies) | overview_co2_network.json |
| actions | Handelingsperspectieven | actions.json |
| flowmaps | Handelingsperspectieven (flowmaps) | overview_activities_flowmap.json overview_processes_flowmap.json |
| highlights | Overzicht & Materialen (highlights) | - |
The analysis variables for the scripts can be found in variables.py:
- INPUT_DIR: The data folder on WorkDocs Drive
- AREA: The name of the area in study
- LEVEL: The administrative level of the area in study (Gemeente/Provincie)
- YEAR: The main year of analysis
- GOALS_YEARS: The list of years for the goals analysis
- ACTIONS_YEARS: The list of year for the actions analysis
- QUARTER: The quarter in interest for the actions analysis
- COROPS: The list of COROPS regions related to the area in study
- POSTCODES: A list of postcodes per municipalities in NL
- OUTPUT_DIR: The folder to export analysis data
| Variable | Description |
|---|---|
| INPUT_DIR | The data folder on WorkDocs Drive |
| AREA | The name of the area in study |
| LEVEL | The administrative level of the area in study (Gemeente/Provincie) |
| YEAR | The main year of analysis |
| GOALS_YEARS | The list of years for the goals analysis |
| ACTIONS_YEARS | The list of year for the actions analysis |
| QUARTER | The quarter in interest for the actions analysis |
| COROPS | The list of COROPS regions related to the area in study |
| POSTCODES | A list of postcodes per municipalities in NL |
| OUTPUT_DIR | The folder to export analysis data |