Core Concepts of Spatial Information

Introduction The Core Concepts of Spatial Information are designed to facilitate spatial computing and reduce its complexity. They also serve as conceptual lenses on environments, allowing for different perspectives on them, fed by data with any sort of spatial reference. We specify the Core Concepts as Abstract Data Types (ADT), defining a set of core computations for each concept, through which users can ask spatial questions (Kuhn & Ballatore, 2015). The ultimate goal is a generic Application Programming Interface (API) for spatial computing. Motivation The main motivation of this project is to promote transdisciplinary research through a more intuitive access to spatial data and computing (Kuhn, 2012). Spatial computing is seen as an enabler, but remains notoriously complex, especially for those without expertise in GIS. A large part of this complexity results from historically grown command sets rather than from inherent difficulties. The Core Concepts and Computations constitute a high-level language that allows for question-based spatial computing across disciplines. Spatial computations get organized around questions, instead of being accessed through procedural commands, limited to certain file formats, and requiring frequent format conversions. Case Study A case study (Vahedi et. al, 2016) exemplifies the gain from applying the Core Concepts to spatial analysis. An economist studying economic activity in China decides to use nighttime light as an indicator. His goal is to quantify nighttime light within a 50-kilometer buffer around Chinese road networks and excluding gas flares. He develops a lengthy ArcPy script solving the problem in around 10 steps (see http://economics.mit.edu/files/8945). To answer the same question through the Core Concepts, one conceptualizes nighttime luminosity as a field. In a single computational step, one restricts the field domain to a 50-Kilometer buffer around roads excluding gas flares, and coarsens the granularity of the field. Architecture The Core Concepts get developed and tested through a four-layer architecture. We assume (and willhave to test) that domain specialists from any discipline can usefully express their spatial questions (Domain questions layer) in terms of Core Concepts (Core Concepts layer). A Mediation layer then automatically translates the results into commands of existing spatial technologies (Technological layer). Together, the Core Concepts and Mediation layers act as a wrapper around existing spatial computing technologies, such as GIS or statistical packages with spatial data structures and analysis functions. Current Status As of now, the set of Core Concepts consists of seven concepts, namely, – One Base Concept: Location – Four Content Concepts: Field, Object, Network, Event – Two Quality Concepts: Granularity, Accuracy It appears likely that the Base and Content Concepts are sufficiently complete to cover the scope of most GIS analyses. The number of Quality Concepts, on the other hand, is likely to grow to include such...

Research

Core Concepts of Spatial Information
The Core Concepts of Spatial Information are a set of concepts designed to facilitate spatial computing
and reduce its complexity in order to broaden access to GIS and other tools (Kuhn, 2012). Read more…

Minor in Spatial Studies

Course requirements Complete Course Listing Summer 2018 Course Listings Fall 2018 Course Listings View Minor flyer Please note: Geography majors are now eligible for the Minor in Spatial Studies. The Center for Spatial Studies is pleased to cooperate with the Department of Geography and the College of Letters and Science to provide advisory support for students seeking to complement their disciplinary majors with a Minor in Spatial Studies. Spatial Studies is framed as an interdisciplinary minor that recognizes the many disciplinary origins of innovations in spatial reasoning, representation, and analysis. All advising is now done through the Department of Geography. General information or document submission: General advising, 1834 Ellison Hall ; Academic advising: during fall quarter, 3512 Phelps Hall; or by appointment: Werner Kuhn. With upper-division courses from more than two-dozen disciplines listed for the minor, students can tap into a creative mix of ideas and tools to enhance their majors and career orientations with spatial perspectives. For the Minor in Spatial Studies, a student selects one of three focus areas that allies most clearly with his/her areas of disciplinary and/or career interest. These include: (a) Spatial Thinking, (b) Space and Place, and (c) Spatial Science. The curricula for these areas of study include a breadth of courses that reflect the pervasive nature of spatial reasoning across diverse fields of knowledge. Focus in Spatial Thinking The Spatial Thinking focus emphasizes spatial cognition and reasoning associated with problem solving and representation, and applications of both elementary and complex reasoning processes in different domains of human activity and knowledge development. This focus represents a concentration on the science of spatial learning at individual and societal levels, and on the mental associations that facilitate learning about and functioning within human and natural environments. Focus in Spatial Science The Spatial Science focus emphasizes the analysis and visualization of information, featuring courses that build methodological and technological competencies for documenting space-time patterns and processes about phenomena in the physical world as well as about behavior and its consequences in the human world. In the design disciplines (including some branches of engineering) the focus is on problem solving and product development that frequently entails the (re)arrangement of spatial entities and documentation of the consequences thereafter. Focus in Space and Place The Space and Place focus builds on courses that apply spatial reasoning and visualization in the humanities. Examples include creative and aesthetic renderings (e.g., stories, visualizations, sounds, and fine arts), the design of lived-in environments that reflect and accommodate human values and activities, the documentation and assessment of affinity to sense of place and region, and communication through use of spatial metaphor and spatialized languages. Geography W12 (Maps and Spatial Reasoning), the required common course for the minor, treats the...

Linked Data for GIScience

This page is a starter pack for faculty, students, and developers, who are interested in applying Linked Data solutions in the context of GIScience. OWL tutorials http://www.w3.org/TR/sw-oosd-primer http://www.w3schools.com/webservices/ws_rdf_owl.asp http://www.obitko.com/tutorials/ontologies-semantic-web/owl-example-with-rdf-graph.html https://code.google.com/p/tdwg-rdf/wiki/Beginners7OWL http://www.cambridgesemantics.com/semantic-university/owl-101 Books David Wood et al. (2013) Linked Data: Structured data on the Web. Greenwich, CT: Manning. Development manuals Editors Protégé: http://protege.stanford.edu Geospatial resources W3C Geospatial Semantic Web (GeoSemWeb) Wiki Academic articles Kuhn, W, Kauppinen, T, Janowicz, K (2014). Linked data–A paradigm shift for geographic information science. In Geographic Information Science (pp. 173-186). [PDF] Scheider S, Degbelo A, Kuhn W, Przibytzin H (2014). Content and context—How linked spatio-temporal data enables novel information services for libraries. GIS.Science (4): 138-149. Trame J, Keßler C, Kuhn W (2013). Linked Data and Time—Modeling Researcher Life Lines by Events. 11th International Conference on Spatial Information Theory (COSIT). Springer-Verlag, Lecture Notes in Computer Science 8116:...

Spatial Un-conferences

Our bi-annual SPATIAL un-conferences are designed to bring domain experts together to inspire and guide research on spatial information. Each edition will focus on applications of spatial information as a primary force to push the frontiers of Geographic Information Science, Spatial Cognition, and related fields. SPATIAL...

Sitemap

Current sitemap of spatial.ucsb.edu. Call Community Relations Contact Location Core Concepts of Spatial Information CoSSI 2017 CoSSI 2017 – COSIT Workshop on Cognitive Scales of Spatial Information CoSSI Workshop Committee Course Listings Course Requirements Credits Education Course Syllabi Exploration Seminar Imagine a nation of spatial thinkers Learning Resources Classics in Spatial Thinking Distorted Maps Map Projections Online Map Viewers and Map Making R programming language Spatial Concepts Spatial Data & Map Links Spatial Reasoning in the Arts and Sciences TeachSpatial UCSB Mapping Resources Virtual Globes Minor in Spatial Studies Spatial Pathways Spatial Courses at UCSB Spatial Education at UCSB Events Brownbag forum on spatial thinking Brownbags 2007-2008 Brownbags 2008-2009 Brownbags 2009-2010 Brownbags 2010-2011 Brownbags 2011-2012 Brownbags 2012-2013 Brownbags 2013-2014 Thinkspatial Brownbag Presentations Brownbags 2014–2015 Brownbags 2015-2016 Brownbags 2016-2017 Calendar Conference Presentations Dangermond Lecture Graduate Student Forums Lightning Talks Lightning Talks 2013 – videos Presentations by spatial@ucsb researchers Spatial Technology Lunches Spatial Un-conferences SPATIAL 2015 SPATIAL 2015 – Accommodations SPATIAL 2015 – Participants and Papers SPATIAL 2015 – Program SPATIAL 2015 – Registration SPATIAL 2015 – Registration SPATIAL 2015 – Travel spatial@ucsb.local Spatial@local08 Posters Spatial@local09 Posters Spatial@local10 Posters spatial@local10 Presentations Spatial@local11 Posters spatial@local11 Presentations spatial@local12 Posters spatial@local12 Presentations spatial@local13 posters Special Spatial Events Specialist Meetings #9502 (no title) #9735 (no title) Accommodations and Travel Accommodations and Travel ASESC Home ASESC Participants ASESC Travel Conference on the Internet of Things (IoT 2018) Leadership Workshop on Location Analytics in Business Reimbursement Reimbursement Spatial Discovery Spatial Discovery II Spatial Discovery II – Participants and Papers Spatial Discovery – Accommodations and Travel Spatial Discovery – Agenda Spatial Discovery – Participants and Papers Spatial Discovery – Reimbursement Spatial Reference – Participants and Papers Spatial Reference – Presentations Spatial Search Spatial Search – Accommodation and Travel Spatial Search – Participants Spatial Search – Agenda Spatial Search – Reimbursement Requirements Spatial Search – Submissions Spatial Thinking Across the College Curriculum Universals and Variation in Spatial Referencing across Cultures and Languages Visitor Presentations GIS Help Desk GIS Help Desk Workshops GIScience 2018 – Workshop on Core Computations on Spatial Information Hosted Conferences Jeff Howarth Miguel Gómez de Antonio Nathaniel Royal Our vision Activity Reports Donor Support Spatial Thinking Timeline of spatial@ucsb Vertices Newsletter People Alan Glennon Alfred Stein Alinda Friedman Andrea Ballatore Andrea Nuernberger Andrew Stull Ann Taves Antonio Medrano Arnold Bregt Behzad Vahedi Ben Lei Bo Yan Bryan Karaffa Carla D’Antonio Cecilia Xia Chris​ Chien​ Crystal Bae Daniel Lewis Denise Stephens Donald Janelle Douglas Burbank Federica Burini Gagandeep Makker Georgios Technitis Heather Burte Indy Hurt James Frew Jeganathan Chockalingam Jingyi Xiao JoAnn Kuchera-Morin Jordan Hastings Kai Cao Karen Doehner Karl Grossner Kitty Currier Krzysztof Janowicz Kun Lee Lisa Parks Marcela Suárez Margaret R. Tarampi Markus Knauff Mary...