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archive

Collection of various programs written in SAS, Stata, R, and Python.

dotmap

dotmap based on http://bmander.com/dotmap/index.html

in-core_galveston

IN-CORE Galveston Testbed

in-core_notebooks

This repository is a collection of Jupyter Notebooks that utilize IN-CORE (https://incore.ncsa.illinois.edu/).

intersect-community-data

Python functions to obtain and clean data required for the version 2 Housing Unit Allocation. Workflow uses Census API.

lehd_lodes7_bulkdownload

lehdr

a package to grab LEHD data in support of city and regional planning economic and transportation analysis

mappinglodes7

Code written for SAS to import, aggregate, and process the LODES 7 Database.

planningmethods

Programs related to urban and regional planning methods.

planningmethods_book

Jupyter Book with Planning Methods examples.

pyincore

pyIncore is a component of IN-CORE. It is a python package consisting of two primary components: 1) a set of service classes to interact with the IN-CORE web services, and 2) IN-CORE analyses . The pyIncore allows users to apply various hazards to infrastructure in selected areas, propagating the effect of physical infrastructure damage and loss of functionality to social and economic impacts.

pyincore-data

racialdotmap

Python code for creating a dataset for a dot density map for every person in the U.S., color-coded by race and ethnicity.

simcenterbootcamp2020

spatial-microsim-book

Working directory of code, sample data and content of a book on 'spatial microsimulation' to be published by CRC Press.

spoon-knife

This repo is for demonstration purposes only. Comments and issues may or may not be responded to.

the-turing-way

Host repository for The Turing Way: a how to guide for reproducible data science

tmpwf

Programs that demonstrate OSEMN workflow

urban-and-regional-planning-resources

Community list of data & technology resources concerning the built environment and communities. 🏙️🌳🚌🚦🗺️

ursc645

URSC 645 - Urban and Regional Analytics Course

xarray-spatial

Raster-based Spatial Analysis for Python