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---
title: "Census Proportional Downsampling"
author: "David Wasserman"
date: "August 6, 2018"
purpose: "Take input census blocks and census block groups. Develop spatial joins of relationships and proportionally allocate Census block group estimates to blocks based on block proportions."
output: html_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)

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# This GIST provides a template for conveting shapefiles into pandana networks. 
# Under a MIT Open Source License. https://opensource.org/licenses/MIT
# Researchers cite as Wasserman, D. Geopandas to Pandana Network Converter. (2019) GitHub repository, https://gist.github.com/d-wasserman/2d50671b37ee46b088e155293399a90c

def get_nodes_and_edges(shp_file,rounding=5):
    """Use geopandas to read line shapefile and compile all paths and nodes in a line file based on a rounding tolerance.
    shp_file:path to polyline file with end to end connectivity
    rounding: tolerance parameter for coordinate precision"""
    edges = gpd.read_file(shp_file)
    edges["from_x"]=edges["geometry"].apply(lambda x:round(x.coords[0][0],rounding))

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