kj-9/prettymapp

🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp

prettymapp's Issues

Setup ci

currently, no cdci is setup.

setup automate testing for each push.

set dpi from arg

Currently, the Plot class does not accept changes to the dpi; it is fixed at 1200. However, during the iterative plotting process, this limitation results in excessive plotting time. Therefore, it should be modified either as an argument or from another location to allow for a more efficient workflow.

make OSM tags can be passed as arg

The function get_osm_geometries does not support custom OSM tags. It will always extract tags that are predefined in prettymapp.settings.LC_SETTINGS. Custom tags cannot be used with this function.

Water area does not appear properly

If you extract geometries using tags as follows:

lc = {
    "water": {
        "natural": ["water", "bay"],
        "place": ["sea"],
    },
}

aoi = get_aoi('shikano shima, fukuoka, japan', rectangular=True, radius=1000*10)
gdf = get_osm_geometries(aoi, lc)
fig = Plot(
    df=gdf,
    aoi_bounds=aoi.bounds,
    draw_settings=STYLES["Peach"]
).plot_all()

Then the water area will not appear unless these tagged polygons are defined. It will be rendered only as background since "water," "bay," and "sea" are not defined as complete polygons of the world's seas.

If you use the tag "natural": ["coastline"], it will only extract lines instead of polygons (sometimes complete polygons for small islands), which is not useful to represent a water area. It is just a line, not an area.

lc = {
    "coast": {
        "natural": ["coastline"]
    }
}
aoi = get_aoi('shikano shima, fukuoka, japan', rectangular=True, radius=1000*10)
gdf = get_osm_geometries(aoi, lc)
gdf.plot()

Update osmnx

currently, latest version of osmnx is 1.6.0

Plot airport

Currently, the code is only showing the "aerodrome" polygon and "runway" line

lc = {
    "air": {
        "aeroway": ["aerodrome"]
    },
    "airway": {
        "aeroway": ["runway", "taxiway", "parking_position"]
    }
}
aoi = get_aoi('fukuoka airport, fukuoka, japan', rectangular=True, radius=1000)
gdf = get_osm_geometries(aoi, lc)
fig = Plot(
    df=gdf,
    aoi_bounds=aoi.bounds,
    draw_settings=mystyle,  # You might want to set specific styles here, e.g., STYLES["Peach"]
).plot_all()

But using the Overpass API with aeroway=* tag, there is other features like taxiway which should show up in plot.