"Extending Japanese Old Maps Online: GIS based Japanese Gazetteer"
Abstract
In this presentation Dr. Yano will detail the utility, functionality, and process of developing the web application Japanese Old Maps Online (Figure 1). Currently, we are working on extending this online system in order to build a GIS based Japanese gazetteer, which is an interactive place name dictionary that can search geospatial information from all regions of Japan, from past historical designations to current...
CGIS Knafel Building, room K354 or Online via Zoom
Speaker
Esther Rolf, Harvard Data Science Initiative
Abstract
Combining satellite imagery with machine learning (SIML) has the potential to address global challenges by remotely estimating socioeconomic and environmental conditions in data-poor regions, yet currently, the resource requirements of SIML limit its accessibility and use for many researchers. In the first part of this talk, I'll show that a single encoding of satellite imagery can generalize across diverse prediction tasks (e.g., forest cover, house price, road length). Our method (MOSAIKS...
CGIS South Building, room S020 (Belfer Case Study Room)
This full-day workshop taught via Zoom video confernce focuses on the visual representation of geographic information. The first part will explore general reference cartography, and the fundamentals of conventional reference mapping. The second part will focus on statistical thematic cartography, and the use of GIS to generate visual representations of spatial information using both desktop (ArcGIS Pro) and web (ArcGIS Online) software. Experience with GIS software is not required of participants, however they must be familiar with basic computing tasks.
This talk will discuss the use of GIS methods in traffic accident analysis. We will focus in particular on the most vulnerable road users - motorcyclists. Motorcycle traffic accidents show specific spatial patterns and concentrations. The talk will present existing methods for the analysis of motorcycle traffic accidents... Read more about GIS-Based Research On Traffic Accidents Using Advanced Statistical Methods
Research Associate, Center for Geographic Analysis
Daoye Zhu is a Research Associate at the Center for Geographic Analysis (CGA) of Harvard University. He obtained his PhD in Data Science (Computer Science and Technology) from the Center for Data Science of Peking University in 2022. He was a Visiting Scholar... Read more about Daoye Zhu
Yilan Xu (University of Illinois), "Modeling the Social Media Information Network Across Space"
Abstract
This paper takes a data-driven approach to model how social media information diffuses over geographic space to form an information network. Using an innovative variance decomposition of the vector autoregression model (Diebold & Yilmaz, 2009, 2012, 2014) and Hurricane Ida as a case study, we construct a weighted and directed climate disaster information network on Twitter described by an information network adjacency matrix....
Human-centred approaches are of particular importance when analysing urban spaces in technology-driven fields, because understanding how people perceive and react to their environments depends on several dynamic and static factors, such as traffic volume, noise, safety, urban configuration, and greenness. Analysing and interpreting emotions against the background of environmental information can provide insights into the spatial and temporal properties of urban spaces and their influence on...
CGIS South Building, room S020 (Belfer Case Study Room)
This full-day workshop offers hands-on instruction on learning and applying several GIS and mapping techniques commonly used by those practicing in the Humanities and Social Sciences. The workshop will include discussion and interactive exercises aimed to contextualize the usage of geography and maps for each participant's individual research or teaching interests.
Specifically, the workshop will cover:
Introduction to and examples of the digital spatial humanities and spatial social sciences
Overview of a diverse range of spatial software,...
"Well-being, Emotion, Network: Geo-spatial Trackers of Unobservable Human Attributes on Social Media"
Abstract
Human behaviors and performances are largely determined by unobservable human attributes, which hinder the progress of social and behavioral science. The proliferation of geotagged social media data provides new opportunities to develop instant metrics for these important yet unobservable attributes... Read more about Yichun Fan (CGA)
Junghwan Kim is a postdoctoral fellow at CGA. He received his Ph.D. in Geography (2021) from the University of Illinois at Urbana-Champaign (UIUC). He also holds a B.S. in Urban Planning and Engineering (Summa Cum Laude) from Yonsei University (2016) in South Korea and a Master of Urban Planning (MUP) from the UIUC (2018)... Read more about Junghwan Kim