# Impervious Surface Analysis
This package provides a Python class `impervious` tailored for analyzing impervious surface using ArcPy. The class is designed for Urban Institute's Quality of Life (QOL) variables.
## Installation
Install `qolimpervious` from PyPI using pip:
pip install qolimpervious
# Usage
import `pandas` as `pd`
import `arcpy`
import `qolimpervious` as `qi`
I = qi.impervious('Singlefamily_Impervious_2023','Commercial_Impervious_2023','Impervious2023')
I.intersect('NPA2023','IntersectImpervious2023')
I.exportcsv(path,'QOL_04_2023.csv')
# Methods
impervious
This class executes impervious surface analysis for Urban Institute's QOL Variables.
`__init__(self, residential, commercial, UnionOutputname)`
- residential: The residential landuse featureclass.
- commercial: The commercial landuse featureclass.
- UnionOutputname: Name of output featureclass for the union analysis.
`union(self)`
Unions the residential and commercial feature classes used for computing the total impervious surface in the city.
`dissovle(self)`
Adds a field to the Union feature class, calculates the field as 0, and dissolves the Union Feature class using the added field.
`intersect(self, NPAFeatureclass, IntersectOutput)`
NPAFeatureclass: The NPA feature class.
IntersectOutput: The output name for the intersect analysis.
Performs the intersect analysis and calculates the area of intersected features.
`exportcsv(self, OutputDirectory, Filename)`
- OutputDirectory: The directory where the CSV file will be exported.
- Filename: The name of the CSV file.
- Exports the results of the impervious surface analysis as a CSV file.
License
This project is licensed under the MIT License - see the LICENSE file for details.
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