China Data Institute will offer a lecture on the workflow data analysis at the data training workshop during the 2020 Chinese Economists Society North American Annual Conference to be hosted by MIT on March 26, 2020. This data training workshop features lectures on the following topics :
- Workflow management by Shuming Bao (China Data Institute)
- Restricted-access census data by Wayne Gray (Clark University)
- GIS techniques by Wendy Guan (Harvard University)
Identified as Novel Coronavirus (COVID-19), this new virus has recently spread from Wuhan to other regions of China as well as about 24 countries. The virus presented unprecedented challenges, but also provided a rare opportunity for studying it that, if seized, will help us understand future risks. This talk will introduce the available resources for 2019-nCoV studies, which include the daily statistics on the virus cases, inter-region migration data, local health facilities, social media data as well as demographic and business data from the population and economic censuses integrated with... Read more about An Introduction to the Data Resources for COVID-19 Studies
Abstract: Developing text analytics in any language for any genre of text is challenging; adding geographic interpretation of text or the mentioned entities therein, further complicates the situation. OpenSextant is one of many open source text analytics efforts that focuses on geographic analytics of unstructured data and has been applied to domains of biosurveillance, social media demographics, digesting reporting from the field and world news analysis. While the geotagging and geocoding technology...
Presentation by Peng Gong, Department of Earth System Science, Tsinghua University.
Abstract: In this presentation, I will report our higher-resolution global land cover mapping efforts beginning in 2010. Our mapping activities are driven by scientific applications. Initially, a classification system was developed for the purpose of climate modeling needs. A sampling software was developed to enable efficient sample collection over the world. With this sample set, we experimented...
The concept of a Local Indicator of Spatial Association (LISA) has been around for more than 20 years and has seen many refinements since its initial introduction. In this workshop, the fundamental idea behind this statistic is reviewed and a number of recent univariate and multivariate extensions are outlined. The methods are illustrated through their implementation in the latest version of the open source GeoDa software and data case studies with software (Knime and R AnalyticFlow) for workflow data analysis.