Making Use of Open Data to Generate Maps for Actions under COVID-19
HKU GIS LABORATORY
Our laboratory is with a capacity of 40 but a limit of 12 participants per session is set to comply with social distancing protocol. Apart from the alternate seating arrangement, other infection control measures, such as temperature screening, hand sanitizing, wearing of masks, and no eating or drinking, will be in place throughout the workshop. With the advice of the HKU Task Force on Infectious Diseases, information about the seating arrangements and basic contact information of the participants will be kept internally, just in case such information is required for contact tracing.
This workshop is part of the COVID-19 and GEOGRAPHY series initiated by HKU Geography. With the first three forums, we have seen many examples of GIS maps and interactive map dashboards. These maps combine real-time epidemic data and location maps using GIS as the platform. Are you curious about the sources of data behind the maps that the panellists talked about? Where can you find these data? How do you visualise the data spatially? What are the possible uses of these maps? This workshop is open to all who are interested to find out the answers. It is particularly relevant to geography teachers who may want to introduce COVID-19 in their classrooms for students with a spatial mind. We hope to see HKU Geography students and alumni back on campus to learn.
Participants are expected to have basic familiarity of browser and mapping operations.
A 3-hour workshop with hands-on practice. This training workshop imparts knowledge and operational skills in making maps for disease surveillance and logistic planning of service delivery. It will cover the following skill sets:
- Identify open data sources for COVID-19, download and format them for GIS processing
- Map cases of COVID-19 at incident locations
- Create heat maps to reveal infection patterns
- Identify vulnerable populations or at-risk groups and available healthcare services
- Make logistics maps for two scenarios:
Scenario 1: Find easy access and safe locations for distributing free masks to the needy
Scenario 2: Work out logistics to collect specimens from in-bound visitors and deliver to designated laboratory centres for screening test
Panel Members (in alphabetical order)
Prof. PC Lai Professor, Department of Geography, The University of Hong Kong
Dr. Ann SH Mak Lecturer, Department of Geography, The University of Hong Kong
Registration is FULL! Given the overwhelming responses, the Department of Geography is considering to offer related workshops and/or short courses. If you are interested, please send an email to email@example.com.
BILINGUAL: ENGLISH AND CHINESE (粵語/普通話)