Suppose we want to interpolate a number of points along each line in a layer:
We have a column called stations
that specifies how many points to
interpolate on each line:
import json | |
import geojson | |
from shapely.geometry import shape | |
o = { | |
"coordinates": [[[23.314208, 37.768469], [24.039306, 37.768469], [24.039306, 38.214372], [23.314208, 38.214372], [23.314208, 37.768469]]], | |
"type": "Polygon" | |
} | |
s = json.dumps(o) |
import asyncio | |
import psycopg2 | |
# dbname should be the same for the notifying process | |
conn = psycopg2.connect(host="localhost", dbname="example", user="example", password="example") | |
conn.set_isolation_level(psycopg2.extensions.ISOLATION_LEVEL_AUTOCOMMIT) | |
cursor = conn.cursor() | |
cursor.execute(f"LISTEN match_updates;") |
This guide shows how to create a WMS server on a local VM using Apache, MapServer and elevation data sets curated by NASA. This WMS server serves as a model for a production MapServer instance to be deployed on an a network.
The guide contains a brief overview of how the WorldWind clients make requests, followed by instructions for setting up the Apache web server, MapServer and the Apache caching.