allixender

#!/bin/bash

# https://trac.osgeo.org/gdal/wiki/CloudOptimizedGeoTIFF

input=$1
output=$2
oversample="nearest"  # or nearest, average

gdal_translate $1 interm_step1.tif -co TILED=YES -co COMPRESS=DEFLATE

maptiler

#!/usr/bin/env python
###############################################################################
# $Id$
#
# Project:  GDAL2Tiles, Google Summer of Code 2007 & 2008
#           Global Map Tiles Classes
# Purpose:  Convert a raster into TMS tiles, create KML SuperOverlay EPSG:4326,
#           generate a simple HTML viewers based on Google Maps and OpenLayers
# Author:   Klokan Petr Pridal, klokan at klokan dot cz
# Web:      http://www.klokan.cz/projects/gdal2tiles/

adactio

// Licensed under a CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
// http://creativecommons.org/publicdomain/zero/1.0/

// HTML files: try the network first, then the cache.
// Other files: try the cache first, then the network.
// Both: cache a fresh version if possible.
// (beware: the cache will grow and grow; there's no cleanup)

const cacheName = 'files';

sgillies

joshdover

Idiomatic React Testing Patterns

Testing React components seems simple at first. Then you need to test something that isn't a pure interaction and things seem to break down. These 4 patterns should help you write readable, flexible tests for the type of component you are testing.

Setup

I recommend doing all setup in the most functional way possible. If you can avoid it, don't set variables in a beforeEach. This will help ensure tests are isolated and make things a bit easier to reason about. I use a pattern that gives great defaults for each test example but allows every example to override props when needed:

jserrao

/*
 ##############################
 ########### Search ###########
 ##############################
 
 Included are steps to help make this script easier for other to follow
 All you have to do is add custom ACF post types into Step 1 and custom taxonomies into Step 10
 I also updated this work to include XSS and SQL injection projection
 [list_searcheable_acf list all the custom fields we want to include in our search query]
 @return [array] [list of custom fields]

peterdesmet

Nocturnal bird migration forward trajectory classified by airspeed into songbirds and waterbirds - Night of April 7-8, 2013

https://inbo.cartodb.com/u/lifewatch/viz/88c30be4-1063-11e5-a9ae-0e853d047bba/public_map

SQL

SELECT *,
	CASE
		WHEN airspeed = 0 THEN 0

gka

#
# you might want to run this first:
#
# pip install pyproj mercantile
#
from pyproj import Proj
import mercantile

mercator = Proj('+proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +wktext +over +no_defs')
albers = Proj('+proj=aea +lat_1=29.5 +lat_2=45.5 +lat_0=37.5 +lon_0=-96 +x_0=0 +y_0=0 +ellps=sphere +towgs84=0,0,0,0,0,0,0 +units=m +no_defs +nadgrids=@null')

dannyko

Rainflow

Gradient flow example using bilinear interpolation of matrix map of Earth altitudes.

For this example, I computed the gravitational force field from a gradient of a 2-D potential energy function, in this case a bilinearly interpolated matrix map of average altitudes of the Earth at every degree (a 180-by-360 dataset).

This global elevation dataset is included with Matlab and is available by running "Load topo". Their doc page references National Geophysical Data Center, NOAA US Department of Commerce under data announcement 88-MGG-02:

http://www.ngdc.noaa.gov/mgg/global/etopo5.HTML

thefuxia

<?php # -*- coding: utf-8 -*-
/**
 * Plugin Name: Product Editor Column
 * Description: Adds a column to the products table backend with the name of the last editor. Requires at least PHP 5.4.
 * Author:      Fuxia
 * Version:     2014.08.09
 * Licence:     MIT
 * Plugin URI:  http://wordpress.stackexchange.com/a/157258/73
 */
namespace WPSE;