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GitHub / thomas9t / spatial-econ-cnn

Repository of code associated with the paper "Using Neural Networks to Predict Micro-Spatial Economic Growth"

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thomas9t%2Fspatial-econ-cnn

Stars: 30
Forks: 6
Open Issues: 0

License: None
Language: Python
Repo Size: 187 MB
Dependencies: 123

Created: about 3 years ago
Updated: 9 months ago
Last pushed: almost 2 years ago
Last synced: 8 months ago

Files

Readme

Dependencies

code/extract_imagery/gee_conda_requirements.txt pypi

PySocks ==1.7.1
asn1crypto ==1.3.0
cachetools ==3.1.1
certifi ==2020.4.5.1
cffi ==1.14.0
chardet ==3.0.4
cryptography ==2.8
earthengine-api ==0.1.217
future ==0.18.2
google-api-core ==1.15.0
google-api-python-client ==1.7.11
google-auth ==1.11.2
google-auth-httplib2 ==0.0.3
google-cloud-core ==1.1.0
google-cloud-storage ==1.20.0
google-resumable-media ==0.4.1
googleapis-common-protos ==1.6.0
httplib2 ==0.15.0
httplib2shim ==0.0.3
idna ==2.9
protobuf ==3.11.4
pyOpenSSL ==19.1.0
pyasn1 ==0.4.8
pyasn1-modules ==0.2.7
pycparser ==2.20
pytz ==2019.3
requests ==2.23.0
rsa ==4.0
simplejson ==3.17.0
six ==1.14.0
uritemplate ==3.0.1
urllib3 ==1.25.8
win-inet-pton ==1.1.0
wincertstore ==0.2

code/generate_image_labels/python/arcpy_requirements.txt pypi

Click ==7.0
Cython ==0.29.26
Fiona ==1.8.11
GDAL ==3.0.2
Keras-Applications ==1.0.8
Keras-Preprocessing ==1.1.0
Markdown ==3.2.1
Pillow ==8.1.0
PySocks ==1.7.1
Rtree ==0.8.3
Shapely ==1.7.0
Werkzeug ==1.0.0
absl-py ==0.9.0
asn1crypto ==1.2.0
astor ==0.8.1
attrs ==19.3.0
cachetools ==4.0.0
causaldata ==0.1.3
certifi ==2019.11.28
cffi ==1.13.0
chardet ==3.0.4
click-plugins ==1.1.1
cligj ==0.5.0
conda ==4.8.1
conda-package-handling ==1.6.0
cryptography ==2.8
cycler ==0.10.0
formulaic ==0.2.4
gast ==0.2.2
geographiclib ==1.50
geopandas ==0.6.1
geopy ==1.20.0
google-auth ==1.11.2
google-auth-oauthlib ==0.4.1
google-pasta ==0.1.8
grpcio ==1.27.2
h5py ==2.10.0
idna ==2.8
interface-meta ==1.2.4
joblib ==0.16.0
kiwisolver ==1.3.1
linearmodels ==4.25
matplotlib ==3.3.4
menuinst ==1.4.16
mkl-fft ==1.0.15
mkl-random ==1.1.0
mkl-service ==2.3.0
munch ==2.5.0
mypy-extensions ==0.4.3
numexpr ==2.7.1
numpy ==1.17.4
oauthlib ==3.1.0
opt-einsum ==3.1.0
pandas ==0.25.3
patsy ==0.5.2
property-cached ==1.6.4
protobuf ==3.11.3
pyOpenSSL ==19.0.0
pyasn1 ==0.4.8
pyasn1-modules ==0.2.8
pycosat ==0.6.3
pycparser ==2.19
pyhdfe ==0.1.0
pyparsing ==2.4.7
pyproj ==2.4.1
python-dateutil ==2.8.1
pytz ==2019.3
pywin32 ==223
requests ==2.22.0
requests-oauthlib ==1.3.0
rsa ==4.0
ruamel-yaml ==0.15.46
scikit-learn ==0.23.2
scipy ==1.4.1
six ==1.12.0
sklearn ==0.0
statsmodels ==0.13.1
tables ==3.6.1
tensorboard ==2.1.0
tensorflow ==2.1.0
tensorflow-estimator ==2.1.0
termcolor ==1.1.0
threadpoolctl ==2.1.0
tqdm ==4.36.1
urllib3 ==1.24.2
win-inet-pton ==1.1.0
wincertstore ==0.2
wrapt ==1.12.0
xgboost ==1.2.1