In: Urban Data Science Lab, School of Architecture, Texas A&M University
Abstract: In the era of the 4th industrial revolution, place and time are embedded in data from many sources, critical in solving global problems. However, spatiotemporal data handling is often costly and time consuming, requiring advanced skills. Analytical results are hard to reuse and difficult to share among researchers with different domain knowledge and varying technical skills. The Spatial Data Lab project (SDL) is aimed at solving these problems by re...
Presenters: Wendy Guan, Lingbo Liu and Tobias Koetter
In: KNIME Fall Summit 2022
Abstract: Organizations around the world depend on geospatial data for site selection, supply chain optimization, environment management, fraud detection and more. Historically, accessing and analyzing this invaluable data, however, has required niche expertise, demanding deep experience with a wide array of data sources and libraries, as well as coding skills. Harvard’s Center for Geographic Analysis & KNIME have teamed up to enable non-expert users to unlock the...
The accessibility of healthcare resources is closely related to the well-being of residents. How to measure residents' access to healthcare services, how to delineate healthcare service divisions, and how to optimize the layout of service facilities are important contents of healthcare service planning? Mastering the theories, models and tools of healthcare service accessibility analysis, and accurately judging, analyzing and planning the...
Washington University in St. Louis is hiring a Data Curator and GIS Librarian. The position reports to the head of Data Services and serves as a specialist for research data management, data curation, and Libraries liaison for GIS and spatial data....
The Research Assistant will work closely with lead physician-scientists and the pediatric environmental health team to build experience and skills in working with spatial or GIS datasets, using tools such as ArcGIS, statistical software packages (e.g. STATA, R, or SAS) and various data analysis tasks for this study and others. They will be responsible for maintaining geospatial and environmental databases, preparing ongoing data reports/run charts for quarterly reports, data cleaning, keeping IRB documentation up-to-date, and consenting/providing educational resources to study...