release on pypi

.gitignore

@@ -1,3 +1,8 @@
+# upload commands
+build.sh
+upload.sh
+uploadtest.sh
+
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]

DynamicESF/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "1.0.0"
+__version__ = "0.1.0"
 
 from . import HedonicModels, MoranI
 

README.md

@@ -3,4 +3,4 @@
 Author implementation of DynamicESF model, which is computationally efficient spatially and temporally varying coefficient model.
 This is an extension of SVC (Spatially Varying Coefficient) models for space-time analysis.
 
-<div class="csl-entry">Nishi, H., Asami, Y., Baba, H., &#38; Shimizu, C. (2022). Scalable spatiotemporal regression model based on Moran’s eigenvectors. <i>International Journal of Geographical Information Science</i>, 1–27. https://doi.org/10.1080/13658816.2022.2100891</div>
+Nishi, H., Asami, Y., Baba, H., & Shimizu, C. (2022). Scalable spatiotemporal regression model based on Moran’s eigenvectors. *International Journal of Geographical Information Science*, 1–27. https://doi.org/10.1080/13658816.2022.2100891

ev_approx.ipynb

@@ -25,7 +25,7 @@
       "np.__version__='1.21.5'\n",
       "matplotlib.__version__='3.5.1'\n",
       "sklearn.__version__='1.0.2'\n",
-      "DynamicESF.__version__='1.0.0'\n"
+      "DynamicESF.__version__='0.1.0'\n"
      ]
     }
    ],

requirements.txt

@@ -0,0 +1,3 @@
+numpy>=1.21.5
+scipy>=1.7.3
+tqdm>=4.64.0

setup.py

@@ -0,0 +1,51 @@
+# Author: Hayato Nishi
+# License: BSD 3-Clause
+
+# I refered mgwr(https://github.com/pysal/mgwr) to write this setup.py
+
+from setuptools import setup
+
+with open("./DynamicESF/__init__.py") as f:
+    for line in f:
+        if line.startswith("__version__"):
+            VERSION = line.strip().split()[-1][1:-1]
+            break
+
+with open("./README.md") as f:
+    readme = f.read()
+
+with open("./requirements.txt", "r") as f:
+    pkg_list = f.read().splitlines()
+
+
+def setup_package():
+    setup(
+        name="DynamicESF",
+        version=VERSION,
+        description="DynamicESF: fast spatially and temporally varying coefficient model",
+        long_description=readme,
+        url="https://github.com/hayato-n/DynamicESF",
+        download_url="https://github.com/hayato-n/DynamicESF",
+        author="Hayato Nishi",
+        author_email="hnishiua@gmail.com",
+        python_requires=">=3.8",
+        keywords="spatial statistics",
+        license="BSE 3-Clause",
+        install_requires=pkg_list,
+        classifiers=[
+            "Development Status :: 4 - Beta",
+            "Intended Audience :: Science/Research",
+            "Intended Audience :: Developers",
+            "Intended Audience :: Education",
+            "Topic :: Scientific/Engineering",
+            "Topic :: Scientific/Engineering :: GIS",
+            "License :: OSI Approved :: BSD License",
+            "Programming Language :: Python",
+            "Programming Language :: Python :: 3.7",
+        ],
+        packages=["DynamicESF"],
+    )
+
+
+if __name__ == "__main__":
+    setup_package()