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Region/Information Lab
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The lab uses spatial information such as maps and satellite images to support planning for national land, regions, and cities.
AboutAbout the lab
Supporting national land, regions, and cities through geoinformatics
The Region/Information Lab advances geoinformatics and conducts research that is applied to policy and planning for national land, regions, and cities.
Spatial information, such as maps, aerial photographs, satellite images, and statistical data, is information used to grasp the state of national land and cities and to share that understanding with many people.
The lab works on integrating diverse data, integrating data with simulation, and estimating and visualizing the mechanisms that generate data.
The lab's name reflects its wish to regenerate national land, regions, and cities into truly attractive spaces.
Key terms
- Geoinformatics
- An academic field spanning the humanities and sciences that organizes and analyzes spatial information such as maps, satellite images, and statistics, and puts it to use in society
- Sensing
- Measuring real-world space and people's movements using sensors such as cameras, lasers, and GPS
- Simulation
- A method of reproducing real-world phenomena on a computer and calculating what will happen next
NewsLab news
Paper by Prof. Fuse and colleagues published in ISPRS Annals of the Photogrammetry, Remote Sensing and Spat…
Paper by Assistant Professor Qiu and colleagues published in ISPRS Annals of the Photogrammetry, Remote Sensing and Spat…
The lab introduced its research at a welcome party for second-year undergraduates entering the Department of Civil Engineering
ResearchResearch themes
The lab develops geoinformatics as an academic field and conducts research to apply it to policy and planning processes for national land, regions, and cities. It studies methods for compiling, analyzing, and representing diverse information, such as maps, satellite images, and location data, by time and place.
*Illustrative imageIntegrating diverse data
The lab develops methods that use mobile devices to measure space by combining not only images but also information such as position, distance, and angle. It is also building methodologies for analyzing many types of measurement data together.
*Illustrative imageIntegrating data and simulation
This research combines data obtained through sensing with simulation and applies the result to spatiotemporal monitoring. Work includes methods that simultaneously use a model that predicts human movement and observational data on people's positions.
*Illustrative imageExploring how data come to be
Using observed data as clues, this research uncovers the mechanisms behind why a phenomenon or a set of data arose. The lab is also examining ways to visualize those mechanisms clearly.
MembersFaculty
The members of the Region/Information Lab are faculty, a secretary, and students in the doctoral, master's, and undergraduate programs.As of 2026
- ProfessorTakashi FusePublications ↗
- Assistant ProfessorWen-Xin QiuPublications ↗
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Landsat View, Tokyo, Japan - Flickr - NASA Goddard Photo and Video” NASA Goddard Space Flight Center from Greenbelt, MD, USA / Public domain (cropped)
- Integrating diverse data: “Geo-Referenced Point Cloud” Stoermerjp / CC BY-SA 3.0 (cropped)
- Integrating data and simulation: “Crosswalk of Market at Third, San Francisco” Dllu / CC BY-SA 4.0 (cropped)
- Exploring how data come to be: “Strahlenexposition DACHL” Gretarsson / CC BY-SA 3.0 (cropped)
- Related lab (Sekimoto Lab): “ISS-62 Tokyo, Japan at night” NASA / Public domain (cropped)
- Related lab (Transportation, Urban and Land Studies Lab (BinN / Urban Life Studies and Network Behavior Research Group)): “X-shaped pedestrian Sakura bridge over Sumida river, linking Taitō and Sumida wards, view from Tokyo Skytree, Japan” Basile Morin / CC BY-SA 4.0 (cropped)
- Related lab (Sawada Lab): “Typhoon In-Fa (MODIS )” MODIS Land Rapid Response Team, NASA GSFC / Public domain (cropped)
- Related lab (Next-Generation Infrastructure Systems Lab (Fukuda Lab)): “Lavaux highway at night” Deralpinbergsteiger / CC BY-SA 4.0 (cropped)
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