11 to 20 of 23 Results
Jul 20, 2022
Hong Zhang; Yi Wang, 2022, "Application of Garin-Lowry Model in Simulating Urban Population and Employment Patterns", https://doi.org/10.7910/DVN/SZ3YEX, Harvard Dataverse, V1
This presentation introduces a KNIME-based case study on the method for solving a system of linear equations (SLE). The technique is used in many applications including the popular input-output analysis. The method is fundamental in numerical analysis (NA) and is often used as a building block in other NA tasks such as solving a system of nonlinear... |
Jul 20, 2022
Lingbo Liu; Shuming Bao; Wendy Guan, 2022, "An Overview of Workflow Driven Spatiotemporal Simulation", https://doi.org/10.7910/DVN/EXYYE3, Harvard Dataverse, V1
This presentation contains the four main parts:(1) Why do we need workflow-driven spatiotemporal simulation; (2) How the KNIME-based Geospatial Cyberinfrastructure platform (K-GCI) for workflow-driven spatiotemporal simulation is different; (3) What is the feature of K-GCI ;(4) An Example based on K-GCI framework. |
Oct 16, 2021
Spatial, Data Lab, 2021, "The Workbench for Spatial Data Science", https://doi.org/10.7910/DVN/MSFXPS, Harvard Dataverse, V1
This webinar introduced the project of "the workbench for spatial data science" sponsored by the spatial data lab. |
Oct 8, 2021
Spatial, Data Lab, 2021, "Workbook for Quantitative Methods and Socio-Economic Applications in GIS", https://doi.org/10.7910/DVN/RJNLRB, Harvard Dataverse, V1
This webinar will introduce the project on "the Workbook for Quantitative Methods and Socioconomic Application in GIS", and how to join the spatial data lab on those ongoing spacial social science research and development projects. |
Jun 28, 2021
Spatial Data Lab, 2020, "Webinars on Data, Tools and Literature Study", https://doi.org/10.7910/DVN/5PRYPC, Harvard Dataverse, V19
This webinar series is for data introductions. |
Jun 23, 2021
Spatial Data Lab, 2021, "Effective Data Management and Spatial Analytics", https://doi.org/10.7910/DVN/PG5YMV, Harvard Dataverse, V1
This webinar introduced the implementations of effective data management and spatial analytics by academic and industry leaders of the field, and discuss the directions for further enhancement through integration with a cloud-based platform for research data sharing and workflow-based data analytics. |
May 21, 2021
Spatial Data Lab, 2021, "CPGIS Educational Webinars:Spatiotemporal Study of Urban Dynamics", https://doi.org/10.7910/DVN/XJIZJG, Harvard Dataverse, V8
With the increased population, continuously propelling of urbanization and climate change, cities are facing unprecedented challenges regarding various safety, security, and health issues. Meanwhile, the increasing penetration of digital technologies is changing the way we perceive cities. This bi-weekly webinar series will focus on the spatiotempo... |
Spatial Data Lab, 2020, "Webinars for Literature Review on COVID-19", https://doi.org/10.7910/DVN/HL2L86, Harvard Dataverse, V12
This webinar series provide literature review on Covid-19 related studies. |
Aug 1, 2020
Spatial Data Lab, 2020, "Webinars on Modeling COVID-19 Pandemic：Resources, Methodology and Applications", https://doi.org/10.7910/DVN/NXF45W, Harvard Dataverse, V4
This webinar series gave reviews on COVID-19 models and data and discussed methodology, aplications, and inetrnational comparative studies on COVID-19 modeling. |
Mar 23, 2020
Spatial Data Lab, 2020, "An Introduction to China Data Online and China Data Lab", https://doi.org/10.7910/DVN/9VAKFY, Harvard Dataverse, V2
China Data Online provides rich and comprehensive information for government statistics, census data, and spatial data (GIS) of China. This workshop gave an introduction to the China Data Online, including its background, objectives, primary data sources, methodologies, unique features, and online functions for easy access and analysis. It also dis... |
