# Proximity Analysis with ArcPy
Perform spatial proximity analysis using ArcPy with ease. This package provides a Python class `proximity` tailored for analyzing spatial relationships in GIS data, specifically designed for Urban Institute's Quality of Life (QOL) spatial variables.
## Installation
Install `proximityuri` from PyPI using pip:
pip install proximityui
## Usage
import proximityuri as P
# Example usage:
prox_analysis = P.proximity('TaxData2023', 'Pharmacy2024')
# Merge additional pharmacy data
prox_analysis.merge('Pharmacy', 'PharmacyUnmatched')
# Add a new field for residential proximity to pharmacy
prox_analysis.addfield('ResNearPharmacy')
# Summarize the results
prox_analysis.summarize('r', 'd', ProjectGDB)
# Export summarized results to a text file
prox_analysis.exporttxt(path, 'QOL_46_2023.txt')
## Methods
__init__(self, tax_parcel_feature_class, proximity_feature_class): Initialize the proximity class with the tax parcel feature class and proximity feature class.
merge(self, *feature_classes_to_be_merged): Merge proximity feature classes from multiple sources into one feature class for analysis.
addfield(self, new_field_name): Add a new field to the tax parcel feature class.
summarize(self, near_residential_output_table, housing_units_table, geodatabase): Summarize residential units near the proximity feature class and export results to a geodatabase.
exporttxt(self, output_directory, final_txt_name): Export summarized results to a text file in the specified directory.
## License
This project is licensed under the MIT License - see the LICENSE file for details.
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"description": "# Proximity Analysis with ArcPy\n\nPerform spatial proximity analysis using ArcPy with ease. This package provides a Python class `proximity` tailored for analyzing spatial relationships in GIS data, specifically designed for Urban Institute's Quality of Life (QOL) spatial variables.\n\n## Installation\n\nInstall `proximityuri` from PyPI using pip:\n\npip install proximityui\n\n## Usage\n\nimport proximityuri as P\n\n# Example usage:\nprox_analysis = P.proximity('TaxData2023', 'Pharmacy2024')\n\n# Merge additional pharmacy data\nprox_analysis.merge('Pharmacy', 'PharmacyUnmatched')\n\n# Add a new field for residential proximity to pharmacy\nprox_analysis.addfield('ResNearPharmacy')\n\n# Summarize the results\nprox_analysis.summarize('r', 'd', ProjectGDB)\n\n# Export summarized results to a text file\nprox_analysis.exporttxt(path, 'QOL_46_2023.txt')\n\n## Methods\n\n__init__(self, tax_parcel_feature_class, proximity_feature_class): Initialize the proximity class with the tax parcel feature class and proximity feature class.\n\nmerge(self, *feature_classes_to_be_merged): Merge proximity feature classes from multiple sources into one feature class for analysis.\n\naddfield(self, new_field_name): Add a new field to the tax parcel feature class.\n\nsummarize(self, near_residential_output_table, housing_units_table, geodatabase): Summarize residential units near the proximity feature class and export results to a geodatabase.\n\nexporttxt(self, output_directory, final_txt_name): Export summarized results to a text file in the specified directory.\n\n## License\n\nThis project is licensed under the MIT License - see the LICENSE file for details.\n",
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