Intensive Workshop
Grid-based Map Analysis Techniques and
…for research, management and
sustainability of the environment
and natural resources
Joseph K. Berry
Keck Scholar in Geosciences, Geography
Department, University of Denver
Principal, Berry & Associates //
Spatial Information Systems
Email jberry@innovativegis.com — Web www.innovativegis.com/basis/
<click here> for a printer-friendly version of this
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Background: Geotechnology is identified by the US Department of Labor as one of the three "mega technologies" for the 21st Century (the other two are Nanotechnology and Biotechnology). It promises to forever change how we conceptualize, utilize and visualize spatial relations in both science and operational applications. Simply put, Geotechnology derives and combines layers of information about a place to give you a better understanding of that place. What layers of information you combine and how you view the results depends on your purpose—finding the best location for a new store, viewing crimes in a city to detect a pattern, analyzing environmental damage, assessing forest management actions, or simply viewing your vacation photos by clicking on an interactive map. The radical paradigm shift of Geotechnology lies in the digital nature of modern maps …numbers first, pictures later.
www.nature.com/nature/journal/v427/n6972/full/nj6972-376a.html, article in Nature, Geotechnology is identified by the US
Department of Labor as one of the three "mega technologies" for the
21st century (the other two are Nanotechnology
and Biotechnology).
www.innovativegis.com/basis/Papers/Other/Geotechnology/Geotecnology_history_future.htm, white paper titled “A Brief History
and Probable Future of Geotechnology”
www.innovativegis.com/basis/MapAnalysis/Default.htm, online book, Beyond Mapping
Situation:
Geotechnology involves the full integration of
Remote Sensing (RS), the Global Positioning System (
Workshop
Description: This introductory workshop first develops a conceptual
framework and overview of Geotechnology and Map Analysis. Further discussion focuses on several
techniques for spatial analysis and spatial data mining using numerous examples
from natural resources management, environmental assessment, precision
agriculture and geo-business applications.
The discussion focuses on concepts, procedures and practical
considerations in successfully applying grid-based map analysis in
Who Should Attend: Faculty and students who are interested in or currently involved in the
development of systems that analyze spatial data should attend. Prior
Major topics
addressed in the workshop include:
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Overview …a plenary presentation describing the history,
driving forces and future directions guiding the evolution/revolution of
Geotechnology. (General Seminar session
open to all; 1 hour)
-
Map Analysis mini-workshop …introduction to fundamental map analysis techniques
including Spatial Analysis and Spatial Statistics that support a
variety of applications, such as habitat modeling, effective proximity, viewshed analysis, spatial interpolation and prescription
mapping. (Session open to all; 3 hours)
-
Intermediate session Emphasizing
Spatial Analysis …a more
in-depth, hands-on experience with Spatial
Analysis operations for assessing geographical context to include
underlying theory, data considerations and advanced applications for such
grid-based techniques as shape/pattern indices, effective distance, optimal
path connectivity, visual exposure, and roving windows. Hands-on exercises include Maps as Data (Ex#1– Map
Analysis Framework); Map-ematics (Ex#2– Example of a Simple
-
Intermediate session Emphasizing
Spatial Statistics [(…continuation of SA operations investigating
neighborhood operators and procedures for constructing sound application models; Neighborhood
Characterization (Ex#5– Neighborhood Techniques); Model
Development and Execution (Ex#6– Suitability Modeling)] …a more in-depth, hands-on experience with Spatial Statistics operations for
assessing numerical context to include underlying theory, data
considerations and advanced applications for such grid-based techniques as
density analysis, spatial interpolation, map generalization, map similarity,
spatial clustering and predictive modeling.
Hands-on exercises include Surface
Modeling (Ex#7– Spatial Interpolation); Spatial Data Mining (Ex#8– Investigating Spatial
Relationships). (Session limited to workshop participants; 4
hours)
-
Infusing grid-based Map analysis into
teaching …participants will
adapt/develop map analysis demonstrations and hands-on exercises for use in
their own courses. (Session limited to
workshop participants; 4 hours)
-
Informal follow-on discussions …with keenly interested individual faculty or small
groups, as well an opportunity to discuss, evaluate and refine
About the Instructor: Dr. Joseph K. Berry is the Principal of
Curriculum
Vita: www.innovativegis.com/basis/basis/cv_berry.htm Website: www.innovativegis.com/basis/
Workshop Software:
You need to have Microsoft Internet Explorer and Office
applications Word, PowerPoint and Excel loaded on your computer.
SnagIt Trial – screen
capture software; free 30 day evaluation version; see http://www.techsmith.com/screen-capture.asp
for information on fully licensed system ($24.95 Academic
version).
MapCalc Learner – map
analysis software; free 14 day evaluation version; see www.farmgis.com/products/software/mapcalc/default.asp for more
information ($21.95 MapCalc Learner version); included on the companion CD with the Map
Analysis book.
Surfer Demo – surface
modeling software; free demo version; see www.goldensoftware.com/products/surfer/surfer.shtml
Syllabus:
Grid-based Map Analysis Workshop for
Instructor: Joseph K. Berry, jberry@innovativegis.com, Phone: 970-215-0825
Profile at www.innovativegis.com/basis/basis/cv_berry.htm
Class
Website: www.innovativegis.com/basis/Courses/Carleton/
Course Workbook: a workbook is provided including lecture summary notes, PowerPoint slideshows and annotated instructions for hands-on exercises.
Text/software:
Map Analysis: Understanding Spatial Patterns
and Relationships, by Joseph K. Berry (GeoTec Media, 2007; $45 +S/H; www.innovativegis.com/basis/Books/MapAnalysis/ ) with companion CD containing further reading and
software used in the hands-on exercises.
Topics and Schedule
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Date/Time |
Topic/Activity |
Background |
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W Mar 19 |
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Informal meetings with selected
faculty and students keenly interested in map analysis and |
None |
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select Online Papers and choose the paper titled “A
Brief History and Probable Future of Geotechnology” click for descriptive flyer of the
presentation |
|
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Mini-workshop on Map Analysis and |
www.innovativegis.com/basis/MapAnalysis/ - select Topic 24,
“Overview of Spatial Analysis and Statistics” click for descriptive flyer of the
mini-workshop |
|
TH Mar 20 |
||
|
|
Intermediate session Emphasizing Spatial Analysis …a more in-depth, hands-on experience with Spatial
Analysis operations for assessing geographical context to include underlying
theory, data considerations and advanced applications for such grid-based
techniques as shape/pattern indices, effective distance, optimal path
connectivity, visual exposure, and roving windows. Hands-on exercises include - Maps as Data (Ex#1– Map Analysis Framework) - Map-ematics (Ex#2– Example of a Simple - Reclassifying and Overlaying Maps (Ex#3–Reclassify and Overlay Techniques) - Measuring Distance and Connectivity (Ex#4– Distance and Connectivity Techniques) |
Map Analysis text: - Introduction - Topic 1, Data Structure Implications - Topic 2, Fundamental Map Analysis Approaches - Topic 3, Basic Techniques in Spatial Analysis - Topic 4, Calculating Effective Distance - Topic 5, Calculating Visual Exposure |
|
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Intermediate session Emphasizing Spatial Statistics …continuation
of SA operations investigating neighborhood operators and procedures for constructing
sound application models. Hands-on
exercises include - Neighborhood Characterization (Ex#5– Neighborhood Techniques) …a more in-depth, hands-on
experience with Spatial Statistics operations for assessing numerical context
to include underlying theory, data considerations and advanced applications
for such grid-based techniques as density analysis, spatial interpolation,
map generalization, map similarity, spatial clustering and predictive
modeling. Hands-on exercises include - Surface Modeling (Ex#6– Spatial Interpolation) - Spatial Data Mining (Ex#7– Investigating Spatial Relationships) - Model Development and Execution (Ex#8– Suitability Modeling) |
Map Analysis text: - Topic 6, Summarizing Neighbors - Topic 7, Basic Spatial Modeling Approaches - Topic 8, Spatial Modeling Example - Topic 9, Basic Techniques in Spatial Statistics - Topic 10, Spatial Data Mining -
Epilog |
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F Mar 21 |
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Infusing grid-based Map analysis into teaching …participants will adapt/develop map
analysis demonstrations and hands-on exercises for use in their own courses |
-
select Online Papers and choose the paper titled
“Infusing Grid-based Map Analysis into Introductory Courses” |
|
|
Informal follow-on discussions …with keenly interested individual faculty
or small groups, as well an opportunity to discuss, evaluate and refine |
None |
Prerequisites: interest in maps
and computers; prior
Format: lecture and “real-time” demonstrations; “hands-on” experience through exercises.
Copyright
2008. All rights
reserved. You may use and distribute
these materials for educational purposes.
Please reference individual slides as “Berry, www.innovativegis.com” and
include an additional one time reference of “ Joseph K. Berry, BASIS, 1701
Lindenwood Drive, Fort Collins, Colorado, USA 80524” in the body of the
materials if extensive use these resources are made.
PowerPoints
— contains the PowerPoint slide sets used in the presentations. Right-click
on a link below and select “Open” to
view directly or select “Save as…”
to save a slide set to an appropriate folder on your computer.
- Seminar.ppt — overview of Geotechnology’s components (RS,
- MiniWorkshopPart1.ppt — overview of Spatial
Statistics tools for investigating the numerical relationships
within and among map layers
- MiniWorkshopPart2.ppt — overview of Spatial
Analysis tools for investigating the contextual relationships within
and among map layers
- WorkshopPart1.ppt — discussion of grid-based data type/display;
fundamental classes of analytical operators; Reclassify and Overlay operators
for calibrating and assessing coincidence of mapped data; example
- WorkshopPart2.ppt — discussion of Distance and Connectivity operators
for measuring effective proximity; assessing visual exposure
- WorkshopPart3.ppt — discussion of Distance and Connectivity operators
for optimal path/corridor analysis;
Neighborhood operations for surface configuration and localized summary
- WorkshopPart4.ppt — discussion of Spatial Statistics operators for
surface modeling (interpolation, descriptive statistics) and spatial data
mining (map similarity, clustering and predictive modeling)
- \Links — this folder contains the additional PowerPoint
slide; this folder must be manually copied into the same folder with the workshop
PowerPoints to retain the relative links embedded in
the slide sets.
Workshop
Notes — contains a set
of notes and further links supporting the material presented in the workshop.
- WorkshopNotes.pdf — click on this link to access the workshop
notes. You must have Adobe Reader
installed to view.
- WorkshopNotes.doc — click on this link to access a Word document file
of the workshop notes.
Workshop
Exercises — contains a set
of hands-on exercises using MapCalc and Surfer software to demonstrate concepts
presented in the workshop.
- WorkshopExercises.pdf — click on this link to access a printer-friendly
copy of the workshop exercises (must have Adobe Reader installed)
- WorkshopExercises.doc — click on this link to access a Word document of the
workshop exercises
Workshop Hands-on Exercises
Exercise #1 — Map
Analysis Framework (MapCalc)
Exercise #2 — Example
of a Simple Erosion Potential Model (MapCalc)
Exercise #3 — Reclassify
and Overlay Techniques (MapCalc)
Exercise #4 — Measuring
Distance and Connectivity (MapCalc)
Exercise #5 — Characterizing
Spatial Neighborhoods (MapCalc)
Exercise #6 — Surface
Modeling (Surfer and MapCalc)
Exercise #7 — Spatial
Data Mining (MapCalc)
Exercise #8 — Gaining
Optional Exercise — Data Exchange Procedures (MapCalc)