hagerstrand 0.0.11

A Python package for an interactive space-time Geographic Information System (GIS)

hagerstrand

A Python package for an interactive space-time Geographic Information System (GIS)

• GitHub repo: https://github.com/jimmy-feng/hagerstrand
• Documentation: https://jimmy-feng.github.io/hagerstrand
• PyPI: https://pypi.org/project/hagerstrand
• Conda-forge: https://anaconda.org/conda-forge/hagerstrand
• Free software: MIT license

Introduction

Hagerstrand is a Python package for a space-time GIS for individual-level human phenomena based on Torsten Hägerstrand's time geographic framework. Investigation of individual activity patterns in a geographic information system (GIS) has been an interest for many geographers and geographic information scientists since Hägerstrand's seminal article, What about people in regional science? in 1970. However, there lacks a uniform implementation of the concepts in the time geographic framework in a GIS across the academic research community. Esri's ArcGIS platforms have various functions for analysis, visualization, and querying of space-time data but are rather limited and only commercially available. This package is continually developed to enable for more comprehensive space-time GIS processes in an open-source Python environment, and can also be used to explore individual human dynamics (e.g. accessibility to various human needs and services.)

Installation

Pip

pip install hagerstrand

Conda

Installing hagerstrand from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge

Once the conda-forge channel has been enabled, hagerstrand can be installed with:

conda install hagerstrand

It is possible to list all of the versions of hagerstrand available on your platform with:

conda search hagerstrand --channel conda-forge

Features

• Create an interactive map
• Add local datasets (e.g. GeoJSON, JSON, Shapefile) to the map either through code or GUI
• Add pandas DataFrames and GeoPandas GeoDataFrames to the map
• Use a widget for quick viewing of filtered results of a pd.DataFrame
• Filter any non-TileLayer in the map by a unique value in a field/column
• Process SafeGraph data and unpack json columns into an existing or a new DataFrame

Credits

This package was created with Cookiecutter and the giswqs/pypackage project template.