6th Annual GIScience in Higher Education Summit
March 21, 2014 — University of Denver, Denver, Colorado
Posted at http://www.innovativegis.com/basis/present/GISinHigherEd2014/
Precision Agriculture: a transformative teaching moment for Geotechnology, Joseph K. Berry
This presentation investigates the use of Precision Ag’s unique expression of Geotechnology as an effective vehicle for teaching fundamental GIS concepts and procedures, particularly in grid-based map analysis and modeling.
Handout — PowerPoint (click to access Handout .pdf and PowerPoint .ppt files)
<![if !vml]><![endif]> Also see…
Precision Agriculture to Precision Conservation, invited feature article in Vector1Media (http://vector1media.com/) an online international magazine promoting spatial design for a sustainable tomorrow, Part 2 of a two part series, March, 2008. J.K. Berry, J.A. Delgado and R. Khosla.
Precision Farming Advances Agricultural Sustainability, invited feature article in Vector1Media (http://vector1media.com/) an online international magazine promoting spatial design for a sustainable tomorrow, Part 1 of a two part series, February, 2008. J.K. Berry, J.A. Delgado and R. Khosla.
Beyond Mapping Compilation Series, Joseph K. Berry
<![if !vml]><![endif]>This demonstration session describes the access, content and searching procedures for the nearly 1000 pages and more than 750 figures in the Beyond Mapping Compilation Series of Beyond Mapping columns appearing in GeoWorld (formally GIS World) magazine from March 1989 through December 2013. The online Series provides a comprehensive and longitudinal perspective of the underlying concepts, considerations, issues and evolutionary development of modern geotechnology. (www.innovativegis.com/basis/BeyondMappingSeries)
Handout (click to access Handout .pdf file ; scale the oversized poster file to fit page when printing on 8.5x11.0 paper)
SpatialSTEM: A New Perspective and Conceptual Framework for Grid-based Map Analysis and Modeling, Joseph K. Berry
<![if !vml]><![endif]>This short paper describes the idea of SpatialSTEM for understanding and communicating spatial reasoning, map analysis and modeling fundamentals within a mathematical/statistical framework that resonates with science, technology, engineering and math/stat communities. The premise is that “modern maps are numbers first, pictures later” and we do mathematical things to mapped data for insight and better understanding of spatial patterns and relationships within decision-making contexts— from Where is What graphical inventories to a Why, So What and What If problem-solving environment.
The map-ematical approach focuses on analytical tools used in spatial reasoning by non-GIS communities instead of traditional “GIS mechanics” of data acquisition, storage, retrieval, query and display of map features directed toward GIS specialists. The goal is to get the STEM communities to “think with maps” and infuse direct consideration of spatial patterns and relationships into their endeavors, as an alternative to spatially-aggregated math/stat procedures that assume uniform or random distribution of map variables in geographic space.
Paper (click to access Paper .pdf file)