This peace of software allows you to generate geographical heatmaps by using data from your csv file.
usage: geo_heatmap.py [-h] [-c CSV] [-o OUTPUT]
[-ml MAP_LOCATION [MAP_LOCATION ...]]
[-mzs MAP_ZOOM_START] [-hmr HEATMAP_RADIUS]
[-hmb HEATMAP_BLUR] [-hmmo HEATMAP_MIN_OPOCITY]
[-hmmz HEATMAP_MAX_ZOOM] [-mt TILES] [-mv MAX_VALUE]
optional arguments:
-h, --help show this help message and exit
-c CSV, --csv CSV Path to CSV data file
-o OUTPUT, --output OUTPUT
Path of html geographical heatmap
-ml MAP_LOCATION [MAP_LOCATION ...], --map_location MAP_LOCATION [MAP_LOCATION ...]
Latitude and Longitude of Map (Northing, Easting)
-mzs MAP_ZOOM_START, --map_zoom_start MAP_ZOOM_START
Initial zoom level for the map
-hmr HEATMAP_RADIUS, --heatmap_radius HEATMAP_RADIUS
Heatmap radius of each “point” of the heatmap
-hmb HEATMAP_BLUR, --headmap_blur HEATMAP_BLUR
Heatmap amount of blur
-hmmo HEATMAP_MIN_OPOCITY, --heatmap_min_opocity HEATMAP_MIN_OPOCITY
Heatmap minimum opacity the heat will start at
-hmmz HEATMAP_MAX_ZOOM, --heatmap_max_zoom HEATMAP_MAX_ZOOM
Heatmap max zoom
-mt TILES, --map_tiles TILES
Map tileset to use
-mv MAX_VALUE, --max_value MAX_VALUE
Max magnitude value
To generate geographical heatmap you must providecsv file with data. Expected csv file consists of fields:
- name - name of entity
- lat - latitude of entity
- lon - longitude of entity
- magnitude - some numerical value that represents entity size/frequency
File structure sample:
name;lat;lon;magnitude
kaunas;54.901308;23.901188;1500
vilnius;54.687269;25.266001;1300
alytus;54.395370;24.037830;570
panevėžys;55.740698;24.371294;860
klaipėda;55.711837;21.133854;810
Path to CSV data file - heatmap.csv
Path of html geographical heatmap - geo_heatmap.html
Latitude and Longitude of Map (Northing, Easting) - ['55.0', '24.0']
Initial zoom level for the map - 7
Heatmap radius of each “point” of the heatmap - 5
Heatmap amount of blur - 5
Heatmap minimum opacity the heat will start at - 0.2
Heatmap max zoom - 4
Map tileset to use - 'OpenStreetMap'
Max magnitude value - if not set max value from csv
>>> python geo_heatmap.py -hmr 100 -hmb 8 -hmmo 0.1
