From bc6621f88931fc3efb7470b3fc3a66fe79f9c7d3 Mon Sep 17 00:00:00 2001 From: Koa Wells Date: Tue, 9 May 2023 20:15:15 -0400 Subject: [PATCH] Update 'README.md' --- README.md | 203 +++++++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 202 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index ff86094..5528254 100644 --- a/README.md +++ b/README.md @@ -1 +1,202 @@ -The purpose of this repo is to ensure that everyone has access to the latest version of the Montreal city dataset. \ No newline at end of file +# Montreal Building Data + +## Contributors +Kartikay Sharma (kartikay.sharma@concordia.ca) + +Koa Wells (kekoa.wells@concordia.ca) + +## Dataset Description +The following dataset contains the collection of buildings in the geojson format for the city of Montreal. The dataset is created by combining multiple open-source datasets provided from the Canadian federal government and the Montreal city government. The dataset is split into several different files. The first file, _name_ contains the entire dataset for the buildings of Montreal. The remainig files contain the buildings sorted by admistrative boundary/district. + +## Data Sources +1. [Montreal Property Assesment Units](https://donnees.montreal.ca/dataset/unites-evaluation-fonciere) +2. [Montreal 3D Buildings (LOD2 model with textures)](https://donnees.montreal.ca/dataset/batiment-3d-2016-maquette-citygml-lod2-avec-textures2) +3. [Montreal Aerial Lidar Dataset](https://donnees.montreal.ca/dataset/lidar-aerien-2015) +4. [NRCAN Building Footprints](https://open.canada.ca/data/en/dataset/7a5cda52-c7df-427f-9ced-26f19a8a64d6) +5. [Administrative boundaries of the agglomeration of Montréal (boroughs and related cities)](https://donnees.montreal.ca/dataset/limites-administratives-agglomeration) + +## List of dataset changes +1. Removed redundant building footprint vertices +2. Removed duplicate buildings +3. +4. +5. +6. +7. +8. + +## Known issues with dataset + +## Dataset Information +This dataset contains 3d building in multipatch format for 6 teritorries of Montreal city with their respecitve construction year and building use type.  +The Administrative Boundaries are: +  +1. Anjou: +2. Pointe-Claire: +3. Rosemont-La Petite-Patrie: +4. Kirkland: +5. Westmount: +6. Hampstead: +7. Mercier-Hochelaga-Maisonneuve: +8. Senneville: +9. Le Sud-Ouest: +10. Rivière-des-Prairies-Pointe-aux-Trembles: +11. Sainte-Anne-de-Bellevue: +12. Le Plateau-Mont-Royal: +13. Verdun: +14. Dollard-Des Ormeaux: +15. Montréal-Est: +16. Baie-D'Urfé: +17. Lachine: +18. Côte-des-Neiges-Notre-Dame-de-Grâce: +19. Villeray-Saint-Michel-Parc-Extension: +20. L'Île-Dorval: +21. Côte-Saint-Luc: +22. Beaconsfield: +23. Pierrefonds-Roxboro: +24. Montréal-Nord: +25. Mont-Royal: +26. Montréal-Ouest: +27. Ahuntsic-Cartierville: +28. Saint-Léonard: +29. Outremont: +30. Ville-Marie: +31. L'Île-Bizard-Sainte-Geneviève: +32. Dorval: +33. Saint-Laurent: +34. LaSalle: + +Côte-des-Neiges–Notre-Dame-de-Grâce: 20100 buildings  +Outremont:3529 buildings  +Le Plateau-Mont-Royal:14326 buildings  +Le Sud-Ouest: 9926 buildings  +Verdun: 9001 buildings  +Ville-Marie: 8371 buildings + + +## Meta data +1. "ID_UEV": unique building identifier +2. "ANNEE_CONS": year of construction +3. "CODE_UTILI": building usage type +4. "ADMIN_BOUNDARY": adminstrative boundary the building belongs to + + +Yes, these file also contains meta data information available for understanding what different attributes means. the same can be accessed through: +1. For 3D building multipatches: donnees.montreal.ca/ville-de-montreal/batiment-3d-2016-maquette-citygml-lod2-avec-textures2#territories +2. For building use, and other semantic data: https://donnees.montreal.ca/ville-de-montreal/unites-evaluation-fonciere + +  + +If No, whether the user created one? Or is there any source to understand the data (if the info is available) + +  + +Any psuedonames are used to represent the data attribites? If so, info is available explaining this psuedonames are available? + +  + +*********************************** +Data available (mandatory) +*********************************** +Not applicable + +  + +For example: + +  + +Time stamp: Unix/Epoch time. Date format: MM/DD/YYYY HH:MM or YYYY-MM-DD HH:MM:SS or..... (This is an important info for processing the dataset later) + +  + +Weather related data - Solar radiaition (Unit), Outdoor Temperature (Unit), Wind Speed (Unit), etc.,...  +(If possible information on whether weather parameters are measured from a local weather location or from indvidual homes could be helpful) + +  + +Energy related data - For example Plug load (Unit), Lighting Load (Unit), HVAC (Unit). Please provide whether the data available is the total energy data or sub-metered data + +  + +Gas measurement data + +  + +Hot water data, etc.... + +  + +*********************************** +Missing values (mandatory) +*********************************** + +  + +Yes, these dataset contiains many missing values which are currently empty cells, but work is going on to either remove the empty columns or change them with NA + +  + +Missing value format in the dataset: 'Na' or 'NaN' or '-99' or any other formats + +  + +Continously missing values or sparsely missing values or No missing values + +  + + +*********************************** +Data Cleaning (If it is processed dataset, it is mandatory to provide this info) +*********************************** +Whether missing values are processed?  +If so, what is the technique (Moving average, any machine learning techniques, etc...) + +  + +Any date/data is excluded because of continously missing values? + +  + +*********************************** +Data processing (If it is processed dataset, it is mandatory to provide this info) +*********************************** +Any information related to data aggregation (example: minutes to hour), data transformation (example: min-max, Z-transformation), outlier detection (example: inter-quartile range, etc..) + +  + + +*********************************** +Supporting data (optional) +*********************************** + +  + +Any other information that can be useful to the new users. For example + +  + +There is one other zip file with supporting information in. This includes: + +  + +- documents that detail measurements and data visualisation (one per house) +- appliance details, images and inventory +- document that describes the data processing methods and a zip file of the Octave functions used +- document that details the measurement device calibration +- floor plans, dimensions and PIR/DOR locations +- house construction +- house occupant details +- installation data and meter readings +- a spreadsheet that details all measurements taken on the project (used to create the device ID in the header files) + +  + +********************************** +Alert/Caution (Mandatory) +********************************** +Do's & Dont' of the dataset + +  + +Any inherent problem associated with the data, etc... \ No newline at end of file