52 lines
1.1 KiB
Markdown
52 lines
1.1 KiB
Markdown
AKIndices --- Alaska climate data
|
|
=================================
|
|
|
|
Air temperature data from over 400 communities, reduced to relevant engineering
|
|
parameters.
|
|
|
|
What is it?
|
|
-----------
|
|
|
|
[AKIndices](http://akindices.akdillon.net) is a Flask-driven web-app that
|
|
builds on the AKExtract project to provide an easy-to-use interface for working
|
|
with SNAP datasets.
|
|
|
|
Prerequisites
|
|
-------------
|
|
|
|
- [AKExtract](http://github.com/thermokarst/akextract)
|
|
- Flask (0.10.1)
|
|
- SQLAlchemy (0.8.2)
|
|
- psycopg2 (2.5.1)
|
|
- flask-wtf (0.9.1)
|
|
- numpy (1.7.1)
|
|
- PostgreSQL
|
|
|
|
|
|
Installation
|
|
------------
|
|
|
|
1) Clone the repo:
|
|
|
|
$ git clone https://github.com/thermokarst/akindices
|
|
|
|
2) Get the data from http://snap.uaf.edu
|
|
|
|
3) Copy `config.py.default` to `config.py`, edit the parameters to suit your needs.
|
|
|
|
4) Launch a python interpreter and populate the database with data:
|
|
|
|
$ python
|
|
>>> import akindices
|
|
>>> akindices.database.init_db()
|
|
|
|
5) Launch the application with:
|
|
|
|
$ ./run.py
|
|
|
|
|
|
Contact
|
|
-------
|
|
|
|
Do you have an idea for a feature? Find a bug?
|
|
Reach me at [mrdillon@alaska.edu](mailto:mrdillon@alaska.edu)
|