(Geo) Informatics across Disciplines! Why Geo-Spatial Computing? Societal: Google Earth, Google Maps, Navigation, location-based service Global Challenges.

Slides:

Advertisements

Similar presentations

1 Spatial Big Data Challenges Intersecting Cloud Computing and Mobility Shashi Shekhar McKnight Distinguished University Professor Department of Computer.

Advertisements

Reported by Sujing Wang UH-DMML Group Meeting Nov. 22, 2010.

1 Shashi Shekhar McKnight Distinguished Uninversity Professor University of Minnesota

GIS for Environmental Science

Transitioning Experiences with Army Geo Spatial Center (AGC) Pradeep Mohan 4 th Year PhD Student 1.

Geographical Information Systems and Science Longley P A, Goodchild M F, Maguire D J, Rhind D W (2001) John Wiley and Sons Ltd 1. Systems, Science and.

Constructing Popular Routes from Uncertain Trajectories Ling-Yin Wei 1, Yu Zheng 2, Wen-Chih Peng 1 1 National Chiao Tung University, Taiwan 2 Microsoft.

Spring 2003Data Mining by H. Liu, ASU1 6. Spatial Mining Spatial Data and Structures Images Spatial Mining Algorithms.

Programming Tools for Visualization of GIS Data Garret Suen Wednesday, March 5, 2003 CPSC –Advanced Algorithms in GIS and Scientific Applications.

GeoInformatics Discussion Group Betty Salzberg & Peggy Agouris.

IGERT: Non-equilibrium dynamics across space and time : A common approach for engineers, earth scientists, and ecologists

NSF and Environmental Cyberinfrastructure Margaret Leinen Environmental Cyberinfrastructure Workshop, NCAR 2002.

Sustainability: Spatial Computing Challenges Shashi Shekhar McKnight Distinguished University Professor University of Minnesota

CPSC 695 Future of GIS Marina L. Gavrilova. The future of GIS.

Spatial Data Mining: Teleconnections Shashi Shekhar Mcknight Distinguished University Professor, U of Minnesota only in old plan Only in new plan In both.

Group Members Faculty : Professor Shashi Shekhar Professor Mohamed Mokbel Students : Mete Celik Betsy George James Kang Sangho Kim Xiaojia Li Qingsong.

Geographic Information Systems and Science SECOND EDITION Paul A. Longley, Michael F. Goodchild, David J. Maguire, David W. Rhind © 2005 John Wiley and.

What is Health Geomatics? Dr. Bob Maher Senior Research Scientist Applied Geomatics Research Group Nova Scotia Community College Middleton, NS October.

Panelist: Shashi Shekhar McKnight Distinguished Uninversity Professor University of Minnesota Cyber-Infrastructure (CI) Panel,

Spatial Database & Spatial Data Mining Shashi Shekhar Dept. of Computer Sc. and Eng. University of Minnesota

Spatial databases: Introduction Geog 495: GIS database design.

Introduction to Geographic Information Systems GIS is a Spatial tool used to query spatial information investigate spatial problems communicate spatial.

Scalable Network Distance Browsing in Spatial Database Samet, H., Sankaranarayanan, J., and Alborzi H. Proceedings of the 2008 ACM SIGMOD international.

What is a GIS? F 1.2 Getting Started F 1.2 Some Definitions of GIS F 1.3A Brief History of GIS F 1.4 Sources of Information on GIS.

University of Minnesota Department of Computer Science and Engineering Directed by Professor Shashi Shekhar Department of Computer Science and Engineering.

Shashi Shekhar Professor, Computer Science Department Teaching: Csci 8705: Topics in Scientific Databases Csci.

Data Mining – Intro.

Geographic Information System Geog 258: Maps and GIS February 17, 2006.

Urban Planning and Development Applications of GIS Dr. Ahmad BinTouq URL:

Advanced Database Applications Database Indexing and Data Mining CS591-G1 -- Fall 2001 George Kollios Boston University.

Cartography Teaching and GIS Software Development in Nanjing University MA Jingsong Dept. of Geographic Information Science School of Geographic & Oceanographic.

Last Words COSC Big Data (frameworks and environments to analyze big datasets) has become a hot topic; it is a mixture of data analysis, data mining,

Interesting Interval Discovery on Spatiotemporal Datasets Csci 8715 Fall 2013.

Zhiyong Wang In cooperation with Sisi Zlatanova

Definition of Computational Science Computational Science for NRM D. Wang Computational science is a rapidly growing multidisciplinary field that uses.

1. Systems, Science, and Study. Outline What is geographic information? Definition of data, information, knowledge and wisdom Kinds of decisions that.

Imagine a World…. With easy, unlimited access to scientific data from any field Where you can easily plot data of interest and display it any way you want.

CSCI 5980: From GPS and Google Earth to Spatial Computing Fall 2012 Midterm Presentation Chapter 7: Architectures Team 9: Thao Nguyen, Nathan Poole October.

Mapping and analysis for public safety: An Overview.

U.S. Department of the Interior U.S. Geological Survey A vision for a global community Linda Gundersen Director Science Quality and Integrity US Geological.

We previously proposed a Sub-path Enumeration and Pruning (SEP) approach [8] Sub-path interestingness is measured by Sameness Degree (an algebraic aggregate.

LIKES: Educating the Next Generation of Knowledge Society Builders Authors: Wingyan Chung, Edward A. Fox, Steven D. Sheetz, Seungwon Yang Presenter: Wingyan.

Geographic Information System Dr B P Lakshmikantha Scientist, KSRSAC.

 Data Models in Commercial GIS Systems E. Hoel, page CSCI 5715 – Fall /14/2014 Sameera Shah Shyam Sundar Somasundaram.

4 Smarter Planet SIG SPATIAL Spatial Computing: Recent Trends.

Data Mining – Intro. Course Overview Spatial Databases Temporal and Spatio-Temporal Databases Multimedia Databases Data Mining.

RNR 403/503 Applications of GIS Fall, GIS – What does it mean? Geographic (geospatial) – Place-based, georeferenced, location is quantitatively.

Contemporary Geographic Tools How do geographers locate and display information today? (These are tools that have taken the place of paper maps, compasses,

Last Words DM 1. Mining Data Steams / Incremental Data Mining / Mining sensor data (e.g. modify a decision tree assuming that new examples arrive continuously,

UNIT 1: GIS DEFINITIONS AND APPLICATIONS

GeoSpatial and GeoTemporal Informatics for dynamic and complex systems May Yuan.

University of Minnesota Computer Science & Engineering An Overview for Smarter Planet Joint IBM/University Day Nov. 20, 2009 Vipin Kumar William Norris.

CCR = Connectivity Residue Ratio = Pr. [ node pair connected by an edge are together in a common page on computer disk drive.] “U of M Scientists were.

Trajectory Data Mining Dr. Yu Zheng Lead Researcher, Microsoft Research Chair Professor at Shanghai Jiao Tong University Editor-in-Chief of ACM Trans.

Spatial Computing Shashi Shekhar McKnight Distinguished University Professor Dept. of Computer Sc. and Eng. University of Minnesota

Session-2 Participants Cyrus Shahabi Raju Vatsavai Mohamed Mokbel Shashi Shekhar Mubarak Shah Jans Aasman Monika Sester Wei Ding Phil Hwang Anthony Stefanidis.

Discovering Persistent Change Windows in Big Spatiotemporal Datasets A summary of results Xun Zhou, Shashi Shekhar, Dev Oliver 2nd ACM SIGSPATIAL International.

What is GIS? “A powerful set of tools for collecting, storing, retrieving, transforming and displaying spatial data”

COMPASS09 Annual Conference of Compass Informatics.

Database Laboratory TaeHoon Kim. /18 Work Progress.

BIG Geospatial Data. WHAT IS SPATIAL BIG DATA?  Defined in part by the context, use-case  Data too big, complex for traditional desktop GIS  Often.

Geoinformatica An International Journal on Advances of Computer Science for Geographic Information Systems.

1 Using DLESE: Finding Resources to Enhance Teaching Shelley Olds Holly Devaul 11 July 2004.

UNIT 1: GIS DEFINITIONS AND APPLICATIONS

(Geo) Informatics across Disciplines!

Data Warehousing and Data Mining

Emerging Information Technologies I

Spatial Data Mining: Three Case Studies

V. Uddameri Texas Tech University

Presentation transcript:

(Geo) Informatics across Disciplines!

Why Geo-Spatial Computing? Societal: Google Earth, Google Maps, Navigation, location-based service Global Challenges facing humanity – many are geo-spatial! Future of Computer Science (CS) is to address societal challenges! Intellectual Challenges CS assumptions, opporunities for new research Ex. Shortest path problem – What algorithms are common today? Are these correct if edge travel-times is not fixed (e.g. rush-hour, non-rush-hour)? Is Dynamic Programming correct for spatio-temporal problems? Ex. Classical Data Mining, e.g. Decision trees, Association Rules, Regression, … Are these effective for spatial data? ACM SIGSPATIAL Special interest group started in 2008 to bring computer scientists together Annual Conference: ACM GIS Journals GeoInformatica: An Intl. Jr. on Advances in Computer Science for GIS

Shashi Shekhar Mcknight Distinguished University Professor URLs : ~shekhar Area: Spatial Databases, Spatial Data Mining, Geographic Info. Systems Teaching: Fall 2010: Csci 5980: Computational Geo-Informatics (link)link Spring 2010: Csci 5708: Database Systems : Csci 8715: Spatial Databases Books, Surveys, etc.: Developing a book on spatial and spatio-temporal data mining Textbook, Encyclopedia, …

Research Group: Spatial Database, Data Mining, GIS URLs : Weekly Meetings: Current Projects: NSF: CRI:IAD Infrastructure for Research in Spatio-Temporal and Context-Aware Systems … NSF: III-CXT: Spatio-temporal Graph Databases for Transportation Science NSF: IGERT: Non-equilibrium Dynamics Across Space and Time NSF: Expedition: Understanding Climate Change: A Data Driven Approach USDOD: Spatio-Temporal Pattern Mining for Multi-Juris. Multi-Temporal Activity Datasets USDOD: Dynamic Purpose-Aware Graph Models for Composite Networks USDOD: Cascase Models for Multi-Scale Spatio-temporal Pattern Discovery Current Ph.D. Students: Pradeep Mohan Mike Evans Dev Oliver Xun Zhou KwangSoo Yang Abdussalam Bannur Viswanath Gunturi Zhe Xiang

Spatial Databases: Representative Projects only in old plan Only in new plan In both plans Evacutation Route Planning Parallelize Range Queries Storing graphs in disk blocksShortest Paths

Spatial Data Mining : Representative Projects Nest locationsDistance to open water Vegetation durability Water depth Location prediction: nesting sitesSpatial outliers: sensor (#9) on I-35Co-location PatternsTele connections

Spatio-Temporal (ST) Questions How do we conceptualize spatio-temporal (ST) worlds? How do we measure ST concepts, recognize them in (remotely) sensed information or in the field, and identify their accuracy and quality? How do we represent ST concepts with incomplete/ uncertain information, with alternative data models, and possibly with multiple representations for the same data, in digital environments? How do we store, access, and transform ST concepts, facilitating data sharing, data transfer, and data archiving, while ensuring minimum information loss? How do we explain ST phenomena through the application of appropriate methods of forward or inverse models of physical and human processes? How do we visualize ST concepts on a variety of media such as maps on electronic displays or animated displays ? How do we use ST concepts to think about spatio-temporal phenomena, and to seek explanations for spatio-temporal patterns and phenomena? Source: Adaptation from NCGIA proposal to NSF by Goodchild et al.