sgillies

Author: Sean Gillies Version: 1.0

Abstract

This document describes a GeoJSON-like protocol for geo-spatial (GIS) vector data.

Introduction

seberg

def rolling_window(array, window=(0,), asteps=None, wsteps=None, axes=None, toend=True):
    """Create a view of `array` which for every point gives the n-dimensional
    neighbourhood of size window. New dimensions are added at the end of
    `array` or after the corresponding original dimension.
    
    Parameters
    ----------
    array : array_like
        Array to which the rolling window is applied.
    window : int or tuple

schwehr

jqtrde

Libraries for a modern geospatial workflow

Distribution

• Writing, Running, and Distributing
• Tox driven development
• Publishing python libraries

Numpy

lgarrison

levand

Since it has come up a few times, I thought I’d write up some of the basic ideas around domain modeling in Clojure, and how they relate to keyword names and Specs. Firmly grasping these concepts will help us all write code that is simpler, cleaner, and easier to understand.

Clojure is a data-oriented language: we’re all familiar with maps, vectors, sets, keywords, etc. However, while data is good, not all data is equally good. It’s still possible to write “bad” data in Clojure.

“Good” data is well defined and easy to read; there is never any ambiguity about what a given data structure represents. Messy data has inconsistent structure, and overloaded keys that can mean different things in different contexts. Good data represents domain entities and a logical model; bad data represents whatever was convenient for the programmer at a given moment. Good data stands on its own, and can be reasoned about without any other knowledge of the codebase; bad data is deeply and tightly coupled to specific generating and

sgillies

jakebrinkmann

"""
Data download script for EarthExplorer Machine-to-Machine

    download_m2m('/path/to/downloads', username='user1234', dataset='ARD_TILE',
                 products='TOA,BT,SR,PQA', threads=40,
                 fields={'Region': 'CU', 'Spacecraft': 'LANDSAT_8'})

More M2M documentation: https://earthexplorer.usgs.gov/inventory/documentation

Author: Jake Brinkmann <[email protected]>

brookisme

import sys
import httplib2
from googleapiclient import discovery
from oauth2client.client import GoogleCredentials
from oauth2client.service_account import ServiceAccountCredentials
from apiclient.http import MediaFileUpload

KEY_FILE='/.config/gclib/sa_key.json'
FT_SCOPE = 'https://www.googleapis.com/auth/fusiontables'
DRIVE_SCOPE = 'https://www.googleapis.com/auth/drive'

mwaskom