David Wasserman's Projects
A set of ArcGIS tools that assist with sampling and scoring spatial data by enabling proportional allocations, density sampling, and different scoring methods.
A collection of ArcGIS geoprocessing tools and utilities to work with geospatial-temporal data.
Taking the hard work out of making an awesome list
A curated list of amazingly awesome PHP libraries, resources and shiny things.
Community list of transit APIs, apps, datasets, research, and software :bus::star2::train::star2::steam_locomotive:
This is a simple set of functions to calculate standard statistics within CityEngine's CGA programming language using string lists.
CityEngine Augmented Reality template for Unity ARCore
The Complete Street Rule for ArcGIS CityEngine is a scenario oriented design tool intended to enable users to quickly create procedurally generated multimodal streets.
Train a deep learning net with OpenStreetMap features and satellite imagery.
This is a template project for weighted prioritization analysis and visualization.
:sunglasses: Yeoman generator for GitHub awesome lists
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.
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.
InVEST: models that map and value the goods and services from nature that sustain and fulfill human life.
Markdown Cheatsheet for Github Readme.md
Listing of worldwide open technology projects preserving a stable climate, energy supply and vital natural resources. Enjoy the website: https://opensustain.tech/
OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.
Pyga - (paiΒ·ga) A Python Wrapper for CityEngine's Computer Generated Architecture
These ArcGIS Python scripts enable various types of proximity analysis leveraging spatial weights matrices & other proximity tools.
Tools for working with GTFS public transit data in ArcGIS
This project documents various R scripts and notebooks examining a High Injury Network (HIN) conducted for four counties that encompass the core of the San Francisco Bay Area (San Francisco, Santa Clara, Alameda, and San Mateo Counties).
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.
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.
D3 Plugin for visualizing flows on a leaflet map
Python tools for measuring and analyzing streets
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.
Automated mapping of pedestrian networks from aerial imagery tiles
Community list of data & technology resources concerning the built environment and communities. ποΈπ³ππ¦πΊοΈ
Computer generated building footprints for the United States