This project automates the process of integrating and cleaning datasets related to Montreal buildings.
It is the continuation of [hydroquebec_archetype_gispy](https://ngci.encs.concordia.ca/gitea/a_adli/hydroquebec_archetype_gispy). The project involves the following datasets:
4. [Administrative boundaries of the agglomeration of Montréal (boroughs and related cities)](https://donnees.montreal.ca/dataset/limites-administratives-agglomeration)
The original workflow was developed in ArcGIS by Kartikay Sharma (kartikay.sharma@concordia.ca). This workflow (link) involves steps such as fixing and clipping geometries, removing features from unnecessary parts of the map, splitting sections based on single building footprints, spatially joining datasets, and cleaning the data through processes such as removing duplicates, among others.
GISPy integrates these processes and automates them so that users can update the dataset by running the workflow module (building_cleanup_workflow.py) after acquiring and defining the paths to the mentioned datasets.
GISPy has been written using QGIS Python standalone libraries (PyQGIS). This set of libraries leverages the functionality of QGIS without needing to run the full QGIS desktop application. To use the environment, QGIS needs to be installed, and the environment must be set up ([Setting up an environment to use standalone PyQGIS – How to import qgis.core](#setting-up)).
This module is the essence of the mtl_gis_oo project. It encompasses required functionalities of PyQGIS as methods. Some other methods also have been added to use the functionalities in a specific way. For example, clip_by_multiply carry outs PyQGIS clipping using multiple overlay layers.
This is the process of cleaning and aggregating Montreal buildings datasets. This workflow is backed up by ScrubLayer. After defining the paths, running the module outputs the updated and integrated dataset (map layer).
The module contains several functions that cannot be defines as a method of ScrubLayer class but are useful and sometimes necessary for a method or a part of the workflow (building_cleanup_workflow.py).
Creating folders, finding a type of files and merging layers are examples of the module's functionalities.
This module contains the QGIS installation path, and two dictionaries for holding input and output layers paths. The module will be modified completely to address paths in a general way instead of locally.
## Setting up an environment to use standalone PyQGIS – How to import qgis.core
To use PyQGIS without having the QGIS application run in the background, one needs to add the python path to the environment variables. Here is how to do it on Windows:
1. Install QGIS
2. Assign a specific name to the QGIS Python executable:
This is being done in order to access the QGIS Python from the command prompt without mixing with the system’s original Python installation(s).
a. Go to the QGIS installation directory’s Python folder. e.g. C:\Program Files\QGIS 3.34.1\apps\Python39
c. Go back to the Environmental variables this time click on New and in New Variable box enter PYTHONPATH and in the Variable Value add the following paths (separate them with a colon). Some paths might be different. For example, apps\qgis can be apps\qgis-ltr.
> i. C:\Program Files\QGIS 3.34.1\apps\qgis\python
> ii. C:\Program Files\QGIS 3.34.1\apps\qgis\python\plugins
> iii. C:\Program Files\QGIS 3.34.1\apps\Qt5\plugins
> iv. C:\Program Files\QGIS 3.34.1\apps\gdal\share\gdal
> v. Or altogether: C:\Program Files\QGIS 3.34.1\apps\qgis\python;C:\Program Files\QGIS 3.34.1\apps\qgis\python\plugins;C:\Program Files\QGIS 3.34.1\apps\Qt5\plugins;C:\Program Files\QGIS 3.34.1\apps\gdal\share\gdal
4. Validate importing qgis.core
a. Open a command prompt window
b. Enter pythonqgis
c. If the process has been done correctly, you won’t face any error.
d. In the Python environment, import the package by:
