feat(data.py): data-reading file

.gitignore

@@ -1 +1,94 @@
 geodata
+#### joe made this: http://goel.io/joe
+#### python ####
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
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+.Python
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+parts/
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+*.egg-info/
+.installed.cfg
+*.egg
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*,cover
+.hypothesis/
+
+# Translations
+*.mo
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+
+# Django stuff:
+*.log
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+
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+

.python-version

@@ -1 +1 @@
-3.7.2
+3.6.8

INSTALL.md

@@ -1,5 +1,5 @@
 ```
-pyenv install 3.7.2
+pyenv install $(cat .python-version)
 pyenv local
 pip install -r requirements.txt
 ```

data.py

@@ -0,0 +1,74 @@
+import geopandas
+import os
+import rasterio
+import pandas as pd
+from matplotlib import pyplot
+from shapely.geometry import Point
+
+directory = os.path.dirname(os.path.abspath(__file__))
+
+GEODATA = os.path.join(directory, 'geodata')
+ECOREGIONS = os.path.join(GEODATA, 'ecoregions', 'Ecoregions2017.shp')
+ELEVATION = os.path.join(GEODATA, 'srtm', 'topo30-180.tif')
+TEMP = os.path.join(GEODATA, 'air_temp')
+PRECIP = os.path.join(GEODATA, 'precipitation')
+
+def read_temp_data(year):
+    return pd.read_csv(os.path.join(TEMP, 'air_temp.{}'.format(year)), sep='\s+', header=None,
+                       names=['longitude', 'latitude', 'january',
+                              'february', 'march', 'april',
+                              'may', 'june', 'july', 'august',
+                              'september', 'november', 'october',
+                              'december', 'yearly_avg'])
+
+def read_precip_data(year):
+    return pd.read_csv(os.path.join(PRECIP, 'precip.{}'.format(year)), sep='\s+', header=None,
+                       names=['longitude', 'latitude', 'january',
+                              'february', 'march', 'april',
+                              'may', 'june', 'july', 'august',
+                              'september', 'november', 'october',
+                              'december', 'yearly_avg'])
+
+eco = geopandas.read_file(ECOREGIONS)
+elevation = rasterio.open(ELEVATION)
+
+# world = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres'))
+# world['geometry'] = world['geometry'].unary_union
+
+# world = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres'))
+# print(world.head())
+# world = world[['continent', 'geometry']]
+# continents = world.dissolve(level=1)
+# continents.plot();
+
+# print(eco.head())
+# print(elevation)
+
+# eco['geometry'].boundary.plot()
+# eco.dissolve()
+
+# eco.plot()
+# # rasterio.plot.show(src)
+# # pyplot.imshow(elevation.read(1))
+# 51.42
+# 35.69
+# tehran = eco.geometry.contains()
+def get_point_information(longitude, latitude):
+    p = Point(longitude, latitude)
+    ecoregion = eco.loc[lambda c: c.geometry.contains(p)]
+    return {
+        'biome_num': ecoregion.loc['BIOME_NUM'].iloc[0],
+        'biome_name': ecoregion.loc['BIOME_NAME'].iloc[0],
+    }
+import time
+start_time = time.time()
+print('Before call')
+print('Tehran', get_point_information(51.42, 35.69))
+print("--- %s seconds ---" % (time.time() - start_time))
+start_time = time.time()
+print('Amazon', get_point_information(-59.78, -5.5))
+print("--- %s seconds ---" % (time.time() - start_time))
+# print(eco.geometry)
+# print(tehran.distance(world.boundary))
+# world.boundary.plot()
+pyplot.show()

nn.py

@@ -0,0 +1,13 @@
+from __future__ import absolute_import, division, print_function
+
+# TensorFlow and tf.keras
+import tensorflow as tf
+from tensorflow import keras
+
+# Helper libraries
+import numpy as np
+import matplotlib.pyplot as plt
+
+import data
+
+print(tf.__version__)

requirements.txt

@@ -4,3 +4,4 @@ matplotlib==3.0.2
 descartes==1.1.0
 pysal==2.0.0
 rasterio==1.0.15
+tensorflow==1.12.0