Author: makepath

Seniors at Risk: Using Spatial Analysis to Identify Pharmacy Deserts

Seniors are especially vulnerable during the COVID-19 pandemic. At makepath, we build and use open source spatial analysis tools such as Xarray-Spatial and Datashader. In this post, we show you how to use those tools to identify and quantify pharmacy deserts where seniors are at especially high risk. We will walk through our analysis to […]

The State of Spatial Data Science: A Perspective from CARTO.

This guest post was written by Javier de la Torre, CSO and Founder of CARTO, a makepath partner company. Spatial data science (SDS) is a subset of Data Science that focuses on the unique characteristics of spatial data, moving beyond simply looking at where things happen to understand why they happen there. SDS treats location, […]

Open Source Spatial Analysis Tools for Python: A Quick Guide

Spatial analysis is a type of GIS analysis that uses math and geometry to understand patterns that happen over space and time, including patterns of human behavior and natural phenomena. When performing spatial analysis or spatial data science, the right tools can open a world of free and collaborative analytics capabilities without costly software licenses. […]

COVID-19 Public-Private Partnership: The Center for Environmental Medicine and Informatics (CEMI) at SUNY College of Environmental Science and Forestry (SUNY ESF) and makepath Working with Safegraph to Understand Virus Mortality

We are excited to announce the partnership between makepath, Safegraph and the The Center for Environmental Medicine and Informatics (CEMI) at SUNY College of Environmental Science and Forestry (SUNY ESF) to study the impact of pollution on COVID-19 mortality. We are starting with a study published by the Harvard T.H. Chan School of Public Health […]

Nationwide Parcel Data: From Cold, Metal Chains, to the Spatial Foundation of American Society, to your Database.

Note about the author of this guest post: Jerry Paffendorf is co-founder and CEO of Loveland Technologies, makers of Landgrid and makepath partner together on special projects. “In the mid-19th century, when the cold tongue of land that is the Michigan peninsula was first being sliced up for development, the surveyors began to discover […]

The Dask Developer Workshop

Last week makepath attended the first-annual Dask Developer Workshop at Capital One Labs in Arlington, VA. This unique workshop brought together 50+ Dask/Python experts to review the state of Dask. TL;DR: This was the first annual Dask Developer Workshop For those unfamiliar with the project, Dask provides advanced parallelism for scaling Python to multithread, multicore, and multi-machine (cluster) scenarios.   […]

Introducing 🌍 Xarray-Spatial: Raster-Based Spatial Analysis in Python

At makepath, we are committed to the open source community. We are proud to announce the release of Xarray-Spatial, a spatial analysis Python library pioneered by one of our founders, Brendan Collins. TL;DR? Xarray-Spatial is: 📍 A Fast, Accurate Python library for Raster Operations ⚡️ Extensible with Numba ⏩ Scalable with Dask 🎊 Free of GDAL / GEOS Dependencies 🌍 Designed for […]

makepath (fka Parietal) attended Python Brasil 2019 in Ribeirão Preto, SP

This week Brendan Collins from makepath (fka Parietal) attended Python Brasil 2019, the largest Python-centric conference in Latin America. Full of amazing tutorial by some leaders of the Python community including Carol Willing, Luciano Ramalho, Débora Azevedo, Laís Varejão, Lorena Mesa, and Felipe de Morais. Brendan Collins, Founder and Principal of makepath (fka Parietal) gave a lightning-talk on Datashader which was […]

makepath (fka Parietal) presents at Carto’s Spatial Data Science Conference

Brendan Collins of makepath (fka Parietal) was excited to present Datashader at Carto’s Spatial Data Science Conference as part of interactive workshops hosted at NYU’s Center for Urban Science And Progress (CUSP) in Brooklyn, NY. For those unfamiliar, Datashader is a rasterization pipeline for automating the process of creating meaningful representations of large amounts of data.  Open-source since inception, Datashader is general enough to apply across many […]