Jie Liu
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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.

Posts by this author
Time Series Forecasting 101 – Part 3. Forecast COVID-19 cumulative confirmed cases with Curve Fit Forecast and Evaluate Forecasts by Location

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

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Time Series Forecasting 101 – Part 2. Forecast COVID-19 daily new confirmed cases with Exponential Smoothing Forecast and Forest-based Forecast

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

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Time Series Forecasting 101 – Part 1. COVID-19 data preparation with ArcGIS Notebooks in ArcGIS Pro

This first article of the Time series forecasting 101 series covers creating a space-time cube of COVID-19 confirmed cases time-series data.

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