How geo-spatial data can help track coronavirus,
ZDNet / CBS Interactive,
Tonya Hall Show,
Feb. 7th, 2020.
- Short (4-minute)
Spatial Computing ,
Communications of the ACM, 59(1):72-81, January 2016 , 10.1145/2756547,
(With S. Feiner, and W. Aref).
- youtube short videos for
Examples of spatial computing (2 minutes) - stop at 2:40 out of 6:44,
Business and Government Use Cases ? (9 minutes),
Sample questions in spatial computing (6 minutes).
- youtube lecture video on
From GPS and Google Maps to Spatial Computing (43 minutes) , 2016.
spatial computing channel
with many playlists such as
2 current projects ,
spatial data mining ,
spatial querying ,
spatial networks .
List of Videos:
provides a collection of videos organized into several modules.
from a course titled
From GPS and Google Maps to Spatial Computing .
These videos were used in a Fall 2014a Coursera course titled
From GPS and Google Maps to Spatial Computing.
- Overview for general audience:
30-Slides (10Mb pptx)
- From GPS, Google Maps & Uber to Spatial Computing : (70-slides :
pptx (60Mb) ),
7th International Conference on Big Data Analytics (BDA 2019) ,
December 17 - 20, 2019, Ahmedabad University, Ahmedabad, Gujarat, India.
What is special about Spatial Data Science? (17 slides, 2Mb ) ,
at the Microsoft
Workshop on Data Science Innovation with NSF Big Data Hubs , Redmond, Wa, October 29-30, 2018.
International Land Use Symposium 2017:
Spatial data modelling and visualisation to enlighten sustainable policy making ,
Leibniz Institute of Ecological Urban and Regional Development,
Nov. 1st, 2017.
Open Knowledge Network Workshop ,
The Networking and Information Technology Research and Development (NITRD) Program ,
Whithouse Office of Science Technology and Policy,
NIH Natcher Conference Center, Bethesda, MD,
October 4-5, 2017.
- UMN Masonic Cancer Center,
(Screening, Prevention, Etiology & Cancer
Geospatial Approaches to Cancer Control (50-Slides, 4Mb pdf) , September 22nd, 2017.
53-Slides (5Mb pdf) ,
Distinguished Lecture at
The Information Science and Technology Center,
Colorado State University, Fall 2015
news article ).
60-Slides (2.4Mb pdf) , Keynotes at
Intl. Symposium on Spatiotemporal Computing (July 2015) ,
IEEE Intl. Conference on Contemporary Computing (August 2015) .
43-Slides (2Mb pdf) , Keynote at
Intl. Conf. on Geocomputation, 2015.
36-Slides (2Mb pdf) , NIST
Data Science Symposium , March 2014.
40-Slides, 3Mb pdf ),
USDOE Argonne National Laboratory
Workshop on High Performance Computing
and GeoSpatial Analytics, April 2014.
- Spatial Computing Workshop Report Overview (with Spatial Big Data Issues)
39-Slides (pdf) (Nov. 2012),
- Interdisciplinary Research and Spatial Computing:
1-slide (pdf) (March 2015),
26-Slides (pdf) (Jan. 2013),
Spatial computing and spatial big data have already enriched billions of lives via pervasive services
(e.g., navigation and ride-sharing apps), ubiquitous systems (e.g., geographical information system,
spatial database management system), and pioneering scientific methods (e.g., spatial statistics).
2 billion receivers in use for location and time services, the GPS has become a critical
infrastructure for the world economy for use cases ranging from
to navigation to ride sharing to
smart cities. Moreover, billions of weather forecasts are used every day around the
global agriculture is monitored to anticipate and prevent food shortage
leveraging spatial big data from Earth Observation satellites.
These success stories are only a beginning and many transformative opportunities lie ahead.
a 2019 U.S. national academy report projects $1.6 trillion in savings for energy generation
and use from earth observation data by 2035. Earlier,
the 2011 Mckinsey Big Data report
estimated that location trace data will generate about $600 billion annually by 2020.
Furthermore, government and industry have recently started major initiatives such as
NASA Earth Exchange, Amazon Earth on AWS,
Google Earth Engine,
Microsoft AI for Earth, and NSF
Navigating the New Arctic
for meeting grand challenges facing our changing planet such as climate change
and environmental sustainability.
However, many spatial data science questions need to be probed to realize the transformative potential.
For example, how may modern economy survive wide-spread GPS-jamming (or spoofing)?
How may one continuously monitor our changing planet at high spatial resolution even during nights?
How may spatial big data (e.g., smart-phone trajectories) be mined without violating privacy ?
How may machine learning methods be generalized to address spatial challenges
(e.g., auto-correlation, multi-scale, modifiable areal unit problem such as Gerrymandering)?
How may we address spatial bias in data even when social feedback loops increase it?
How may algorithms scale up to spatial big data to learn unbiased models?
How may we leverage vehicle big data (e.g., on-board diagnostics with high
spatio-temporal resolution) for eco-routing to model edge dependence of energy-use and emissions?
This presentation shares a perspective on the societal accomplishments,
opportunities, and research needs in spatial computing, spatial big data and spatial data science.
Spatial Computing, Spatial Big Data, Spatial Data Science,
Spatial Data Mining, Spatial Databases, Geographic Information Systems.
This work was supported in part by
the National Science Foundation,
the U.S. Department of Defense,
and the University of Minnesota.
- Spatial Computing,
S. Shekhar and P. Vold,
The MIT Press Essential Knowledge
series, June 2020 (ISBN: 9780262538046).
Spatial Computing (
short video ,
Communications of the ACM, 59(1), January, 2016
(With S. Feiner, and W. Aref).
Transdisciplinary Foundations of Geospatial Data Science (
ISPRS International Journal of Geo-Informatics, 6(12), 2017.
(with Y. Xie, E. Eftelioglu, R. Ali, X. Tang, Y. Li, and R. Doshi)
Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate
and Social Science Communities: A Research Roadmap,
IEEE BigData Congress, 2017, pages 232-250 (w/ S. Prasad et al.),
Transforming Smart Cities With Spatial Computing,
IEEE International Smart Cities Conference , 2018 (with Y. Xie, J. Gupta, Y. Li).
Enabling Spatial Big Data via CyberGIS: Challenges and Opportunities , in
CyberGIS for Geospatial Discovery and Innovation (Ed. S.
Wang and M. Goodchild), Springer, 2019, isbn 978-94-024-1529-2
(w/ M. Evans, D. Oliver, K. Yang, X. Zhou, and R. Ali) .
Agriculture Big Data (AgBD) Challenges and Opportunities From Farm To Table: A Midwest Big Data Hub
Community Whitepaper, NSF Midwest Big Data Hub,
December, 2017. (w/ P. Schnable, D. LeBauer, K. Baylis, and K. Vanderwaal).
Spatial Big-Data Challenges Intersecting Mobility and Cloud Computing ,
11th International ACM
Workshop on Data Engineering for Wireless and Mobile Access, 2012.
(A summary appeared in NSF
Workshop on Social Networks and Mobility in the Cloud , 2012.)
Spatiotemporal Data Mining: A Computational Perspective,
ISPRS International Journal on
Geo-Informtion, 4(4):2306-2338, 2015, DOI: 10.3390/ijgi4042306,
(w/ Z. Jiang, R. Ali, E. Efteliglu, X. Tang, V. Gunturi, and X. Zhou).
- Identifying patterns in spatial information: a survey of methods
( pdf ),
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery ,
193-214, 1(3), May/June 2011, DOI: 10.1002/widm.25,
(w/ M. R. Evans, J. M. Kang and P. Mohan).
From GPS and virtual globes to spatial computing - 2020 ,
GeoInformatica, 19(4):799-832, Springer, October 2015.
(With S. Feiner, and W. Aref).
From Google Earth and GPS to Spatial Computing - 2020: Community Report
- Reports from National Academies, McKinsey, etc.:
Thriving on Our Changing Planet: A Decadal Strategy for Earth Observation from Space: An Overview for
Decision Makers and the Public. Washington DC: The National Academies Press, 2019.
A UCGIS Call to Action: Bringing the Geospatial Perspective to Data Science Degrees and Curricula,
University Consortium for Geographic Information Science, Summer 2018.
- Y. Gil et al.
Intelligent systems for geosciences: an essential research agenda,
Communications of the ACM, 62(1): 76-84, 2018.
Personal location data, chapter 3e (pp. 85-96) in
Big data: The next frontier for innovation, competition, and productivity
McKinsey Global Institute, 2011.
Geotargeted Alerts and Warnings
Exposure Science in the 21st Century: A Vision and a Strategy (2012)
Future U.S. Workforce for Geospatial Intelligence
Beyond Mapping: Meeting National Needs Through Enhanced Geographic Information Science
Priorities for GEOINT Research at the National Geospatial-Intelligence Agency , 2006.
Learning to Think Spatially:
GIS as a Support System in the K-12 Curriculum , 2005.
IT Roadmap to a Geospatial Future , 2003.
- S. Shekhar and H. Xiong (Co-EIC),
Encyclopedia of GIS
, Springer, 2008, isbn 978-0-387-30858-6.
- S. Shekhar and J. Kang,
Spatial Databases ,
Wiley Encyclopedia of Computer Science and Engineering
(Ed. Benjamin Wah), John Wiley and Sons Inc, 2009, isbn 978-0471383932.
- S. Shekhar and S. Chawla,
Spatial Databases: A Tour ,
Prentice Hall 2003, ISBN 0-13-017480-7.
- S Shekhar, S Chawla, S Ravada, A Fetterer, X Liu, and C Lu,
Spatial Databases: Accomplishments and Research Needs (
IEEE Transactions on Knowledge and Data Engineering, 11(1), Jan. 1999.
- ACM Special Interest Group :
- GeoInformatica: An International Journal on Advances of Computer Science for Geographic
Information Systems, Springer:
Spatial Big-Data : A Perspective (abstract, slides, position papers).
Spatial Computing Perspective on Food Energy and Water Nexus ,
Journal of Environmental Sciences and Studies
(Special Issue on FEW Nexus), ISSN: 2190-6483 (Print) 2190-6491 IOnline), Springer, 2016.
(Note: It is a vision paper exploring possible roles for spatial computing in FEW Nexus).