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Python
License
Apache License 2.0
Created almost 9 years ago
Updated over 6 years ago

d-wasserman

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This repository contains a series of scripting tools that were created to enable data-driven design to support large-scale scenario planning projects. These tools are intended to integrate GIS and CityEngine to enable the creation of large amounts of 3D content to support urban planning/geodesign projects.

Complete_Street_Rule

The Complete Street Rule for ArcGIS CityEngine is a scenario oriented design tool intended to enable users to quickly create procedurally generated multimodal streets.

Python

171

shared-row

This is an open data specification for describing the right-of-way (ROW) for street centerline networks. It is intended to establish a common set of attributes (schema) to describe how space is allocated along a streets right of way from sidewalk edge to sidewalk edge.

study-line-editor

The goal of this toolbox is provide a set of batch line editing tools for ArcGIS that allow for the efficient creation of polyline feature study segments through batch segmentation and other line editing routines.

Python

geo-learn

This is a collection scripts and tools intended to provide a template on how to integrate and apply Scikit-Learn with ArcGIS Pro. The tools distributed enable access to various machine learning algorithms through scripting tools in the geo-learn toolbox. The tools largely work by passing geographic coordinates and related data to be clustered or analyzed to help with spatial analysis tasks, data reduction, or cartography. In addition, the tool sets include regression analysis tools for exploring different Scikit-Learn model's ability to provide predictive analysis.

Python