Jie Liu is a product engineer on the Spatial Statistics team. Jie earned her bachelor’s degree in Urban Planning and minored in Economics at Peking University, and earned dual degrees in Master of City Planning and Master of Urban and Spatial Analytics in School of Design, University of Pennsylvania. Jie loves applying spatial data science to solve transportation planning and socio-economic problems.
We’ll share a source of historical county population data and introduce a set of exciting, easy-to-use forecasting tools available in ArcGIS Pro.
Learn more analysis details about forecasting the change of relationship between PM 2.5 level and population of people of color from 2010 to 2025
Join us at the 2021 Esri Developer Summit to discover and dive deep into latest development of Spatial Statistics and Space Time Pattern Mining.
The third article of the series shows how we can forecast cumulative confirmed cases of COVID-19 at US county level with Time Series Forecasting
The second article of the series shows how we can forecast daily new confirmed cases of COVID-19 at US county level with Time Series Forecasting
This first article of the Time series forecasting 101 series covers creating a space-time cube of COVID-19 confirmed cases time-series data.
