David Wasserman (@d-wasserman)
github

d-wasserman

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  • Stars
    star
    249
  • Global Rank 103,600 (Top 4 %)
  • Followers 170
  • Following 149
  • Registered over 10 years ago
  • Most used languages
    Python
         88.9 %
    HTML
         11.1 %
  • Location πŸ‡ΊπŸ‡Έ United States
  • Country Total Rank 26,796
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    Python
         5,057

Top repositories

1

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
star
2

geodesign-toolkit-gis-cityengine-integration-tools

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.
Python
17
star
3

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.
17
star
4

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
10
star
5

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
9
star
6

proximity-analysis

These ArcGIS Python scripts enable various types of proximity analysis leveraging spatial weights matrices & other proximity tools.
Python
8
star
7

flask-network-prioritization-template

This is a template project for weighted prioritization analysis and visualization.
HTML
6
star
8

arc-sampling-and-scoring

A set of ArcGIS tools that assist with sampling and scoring spatial data by enabling proportional allocations, density sampling, and different scoring methods.
Python
3
star
9

cga-stats

This is a simple set of functions to calculate standard statistics within CityEngine's CGA programming language using string lists.
1
star
10

arc-time

A collection of ArcGIS geoprocessing tools and utilities to work with geospatial-temporal data.
Python
1
star
11

shared-row-arcgis-tools

Provide ArcGIS geoprocessing tools that aid in the creation of shared-row compliant databases, and provide planning product examples that can be derived from its deployment.
Python
1
star