M F 8 Reading Presentations III + Project Proposals

February 8, 2010

Annabelle in a box

•••••••••••••••••••••

Today: Monday February 8: Blank Dominoes: Mitchell ch. 2, 3, and 4

Wednesday February 10: Wooden Legos: Mitchell ch. 5, 6, and 7

Monday February 15: Percolator Tops: Apply all of readings to Green Map project

Wednesday February 17: Project Proposals Due!

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Project Proposals: Detailed Plan of Action (Based on Mitchell Chapter 1)

1. Frame the Question

  • pose your question: what exactly is your project aiming to do?
  • where are endangered ecosystems in Delaware County?
  • where are potential recreational trail corridors in Delaware County?
  • how can viable OWU food waste be efficiently distributed to area food banks?
  • where does the food sold on campus come from, and what are the consequences of our consumption of these foods?
  • who is your audience?  what is your ultimate goal?

2. Understand your Data Needs

  • what is the context of your question?  who are the experts?  literature, people
  • what do you have to know about the context of the question to answer it?
  • what is an endangered ecosystem?  what are specific examples?
  • what are the goals of recreational trails?  what do they connect?
  • how is food waste reuse assessed and how is it collected?

3. Find or Create your Data

  • what data is available to help answer your question?  cost? compatibility?
  • what data do you have to generate yourself? easy vs. difficult vs impossible
  • necessary to have the data or a plan to create it (with necessary technology)

4. Process the Data: specific analysis

  • apply ideas from readings & software tutorial to your project
  • ex) generate endangered areas by comparing areas defined as important ecosystems to their closeness to recent development
  • ex) generate potential trails by generating important points and areas to connect; and determining feasible paths between those points; relate potential trails to property ownership and other factors
  • ex) generate a plan for distributing food waste from campus to area food banks
  • ex) analyze the global impact of specific food consumption on campus

5. The Results

  • vital part of the process: communication and advocacy
  • generate a map (with a database) and use it to present results
  • ex) map of endangered ecosystems in Delaware Co: distribute to ??
  • ex) map of potential trails in Delaware Co.: planners, bike clubs, etc.
  • ex) a map that guides distribution of OWU food waste
  • ex) map of the global impact of what we eat

Example of proposal: Clara Englert: Project Proposal: Delware State park Wetlands Mapping and Assessment Project (April 2004)

•••••••••••••••••••••

Project Progress

Bibhas A.: two data sets
1. List of all courses with enrollment data + other course meta data for Spring 2010
2. Enrollment data by building for Spring 2010

Jack S.

  • Energy use by campus building (Excel file)

W F 3 Reading Presentations II + Green Map Project

February 3, 2010

Crayola Color Chart, 1903-2010

••••••••••••••

Monday February 8: Blank Dominoes: Mitchell ch. 2, 3, and 4

Wednesday February 10: Wooden Legos: Mitchell ch. 5, 6, and 7

Monday February 15: Percolator Tops: Apply all of readings to Green Map project

••••••••••••••

Today: Sprinkler Heads: cover Schuurman ch. 4 & 5 (Krygier notes on these chapters here)

Today: Green Map Progress

  • Project format: series of maps/projects that fit together as poster, but also stand alone
  • Audience: new and potential students; existing students, OWU faculty & staff, community members, kids, etc.
  • Related projects: green “cards” w/info and activities
  • Center map: a typical Green Map – lots of locations of stuff – one group
  • Other maps: atypical Green Maps – other groups + other classes / independent studies
  • focus on action, education,
  • Updates on project progress: focusing topics, work groups, problems

Key topic areas (not exhaustive!)

Traditional Green Map

  • businesses, activities, etc.
  • important: assessment procedures for inclusion

Food

Transportation

  • news: Passenger Trains: Passenger Trains for Delaware, OH
  • data: driving on and around campus
  • walkability analysis and mapping
  • calories burnt walking, biking, vs driving
  • alternatives: biking, walking, DATA, etc.

People

  • where students are data: important for multiple projects

Garbage / Recycling

  • analysis of garbage data; recycling data
  • map garbage generated over areas of campus
  • activities, events related to waste reduction
  • rainwater harvesting potential

Animal and Plant “infrastructure” & ecosystems

  • Campus & Delaware ecosystem maps for exploring & learning: mapping ecosystems; birds, possibly other animals/plants
  • mini green trips & activities and how to get there (Geog 360)

Energy use on and around Campus

  • building energy data: B & G records
  • focus energy saving efforts (knowing where students are & energy data)
  • heat escape imagery?

Health

  • air pollution, Health Center and county health information

•••••••••••••••••••••••••••

GreenOWU Blog: Information from 2009-2010 work on Green projects on and around campus. Include in comprehensive plan for OWU & Delaware Green Map (print, web).


M F 1: Reading Catchup + GIS Analysis: Reading Presentations I + Project Updates

February 1, 2010

From Geological Investigation of the Alluvial Valley of the Lower Mississippi River, Fisk, 1944.

••••••••••••••••

Lets do a bit of catch-up today on the readings we have done so far this semester.

1. Krygier covers M J 14: GIS & GIS Applications I: Schuurman ch 1

2. Krygier covers W J 20: Geospatial Analysis text: Intro + Conceptual Frameworks

3. Krygier covers M J 25: The Geographic Analysis Process: Mitchell ch. 1

4. Salt&Peppa Shaker Tops cover Schuurman ch. 2 & 3 (Krygier notes on these chapters here)

5. Monday February 15: Percolator Tops: Apply all of readings to Green Map project

6. Green Map Progress

  • Project format: series of maps/projects that fit together as poster, but also stand alone
  • Center map: a typical Green Map – lots of locations of stuff – one group
  • Other maps: atypical Green Maps – other groups + other classes / independent studies
  • Brief report from groups on progress. More updates (on blogs) by Wednesday
  • Updates from people who skipped last class meeting

Local Green Information



M J 25: The Geographic Analysis Process: Mitchell ch. 1

January 25, 2010

zoom

Mitchell: The ESRI Guide to GIS Analysis, ch. 1

GIS technology 30 years old

Good for making maps: but can do more than that: GIS Analysis

  • learn new things, help make decisions
  • maps result from GIS analysis: have important impact (visual)

Why GIS might not be used:

  • lack of data (changing rapidly, but still a problem)
  • difficult software (but now easy interfaces; still complex though)
  • lack of understanding about GIS analysis (the book)
  • where are things in geographic space?
  • mapping variations in amount: least and most
  • mapping density
  • finding what is inside
  • finding what is nearby
  • mapping change

What is GIS Analysis?

GIS Analysis as a process

  • simple visual analysis to complex digital modeling
  • akin to the research process

1. Frame the Question:

  • where are endangered ecosystems in Delaware County?
  • where are potential recreational trail corridors in Delaware County?
  • how can viable OWU food waste be efficiently distributed to area food banks?
  • where does the food sold on campus come from, and what are the consequences of our consumption of these foods?
  • who is your audience?  what is your final goal?


2. Understand your Data

  • what is the context of your question?  who are the experts?  literature, people
  • what do you have to know about the context of the question to answer it?
  • what is an endangered ecosystem?  what are specific examples?
  • what are the goals of recreational trails?  what do they connect?
  • how is food waste reuse assessed and how is it collected?
  • what or who can help you to understand the issue: literature, people

3. Choose a Method

  • what data is available to help answer your question?  cost? compatibility?
  • what data do you have to generate yourself? easy vs. difficult vs impossible

4. Process the Data: specific analysis

  • ex) generate endangered areas by comparing areas defined as important ecosystems to their closeness to recent development
  • ex) generate potential trails by generating important points and areas to connect; and determining feasible paths between those points; relate potential trails to property ownership and other factors
  • ex) generate a plan for distributing food waste from campus to area food banks
  • ex) analyze the global impact of specific food consumption on campus

5. Look at the Results

  • generate a map (with a database) and use it to present results
  • ex) map of endangered ecosystems in Delaware Co: distribute to ??
  • ex) map of potential trails in Delaware Co.: planners, bike clubs, etc.
  • ex) a map that guides distribution of OWU food waste
  • ex) map of the global impact of what we eat
  • vital part of the process: communication and advocacy
  • Simple in concept; complex in application!

Understanding Geographic Features

  • we reduce the complexity of the real world in order to collect data and map it

A feature: “something inherent and distinctive”

Types of features (mappable data)

1. Discrete Features: at any location, the feature is there or is not there

  • point, line, and area example: p. 12
  • corresponds to vector data structure in most GIS programs

2. Continuous Features: feature is everywhere in varying amounts

  • ex) temperature
  • ex) elevation
  • ex) soil or bedrock (Delaware Data)

3) Features Summarized by Area: census or count data

  • define an area; count features in the area; assign total to the area
  • know how many features in an area, but not where they are in the area
    ex) US Census data, animal census

Two Ways of Representing Geographic Features

1) Vector: points, lines, and areas

  • each point has a unique location in a coordinate system: latitude/longitude
  • points connect to make lines
  • series of points, connected to make lines, which close are areas

2) Raster: grid of varying resolution with cells

  • air photo

Different data structures; can be related in GIS but generated differently and stored and processed differently.

Map Projections and Coordinate Systems

Review from Geog 222 or 353

  • coordinate systems: based on the idea of a graph
  • locations in geographic space: x, y
  • latitude longitude vs state plane coordinate system
  • coordinate layers of GIS information
  • map projection
  • 3D earth to 2D map
  • distortions inherent in process (shape, area)
  • distortions less evident at detailed scales
  • but GIS layers must have same map projection or will not align properly

Understanding Geographic Attributes

  • a geographic feature (point, line, area) has one or more attributes
  • ex) area is a vernal pool, it is 1 acre, it is on private property (3 attributes)

Types of attribute values

  • categories: qualitative
  • ex) vernal pool (area) vs river (line)

Ranks: quantitative with order

  • ex) water quality: high, medium, low

Counts and amounts: quantitative, total numbers

  • ex) 35 robins in one nature reserve, 67 in a second reserve

Ratios: relationship between two quantities

  • ex) people per household in census tracts in Delaware county

Data tables: the ‘database’ or spreadsheet where the feature attributes are found

  • ex) select all properties in Delaware County that are residential land use
  • ex) calculate and summarize the total value of all properties a proposed trail crosses

Course Project Ideas

  • apply Mitchell’s process of GIS Analysis to project

Thoughts on a OWU / Delaware Green Map

January 20, 2010

Before even looking at other green maps out there…some ideas from my brain:

Deadline: Delaware’s Earth Day, April 22

Format: poster or series of page-size maps and web site / app

  • poster: who pays for printing? page size: camps copy center (cheaper, but still $$)
  • “dissected green map” – page or smaller size maps that fit together into a poster; expandable for future projects, trading card idea for promotion (“collect them all!”).
  • digital: development platform? long term maintenance?
  • set up web site for “crowdsourcing” local environmental information?

Audience: how might different audiences shape the content of the map?

  • Delaware community members, kids vs adults
  • OWU students, faculty, staff
  • potential OWU students: using green amenities to promote OWU (Admissions Office)

Goals: a map that engages people and includes sophisticated content; how can we use GIS methods to do more than just show where “green” stuff is? What can we include that will catch people’s attention, maybe make them change their behavior? Balance “I have a nightmare” and “environmental douchebag” stuff with motivational and positive information.

ex) buffers and riparian zones: what, who is close to rivers?
ex) how much area would a year’s worth of garbage from OWU or Delaware cover? Or one person’s garbage?
ex) rainforest cut each day (hour): map out area in Delaware
ex) carbon put in atmosphere each week/month/year mapped out on OWU/Delaware
ex) map out green spaces around OWU/Delaware then cut them out and put them in one place
ex) walk vs drive calories burned map, walking/biking distance to burn off particular food items
ex) mapping soils, geology beneath us, characteristics, soil-tasting tips
ex) enviro games: frisbee golf (hit as many species of trees as possible), geocaching (with cell phone), plant and animal “hit lists” (web based?)
ex) crowd sourcing specific environmental problems, cool stuff (web site)
ex) walkability (OWU / Delaware)
ex) open space for gardens (derived from air imagery)?
ex) infrared imagery: vegetation health
ex) heat mapping: wasted energy
ex) light pollution mapping
ex) animal/plant habitats in Delaware/OWU: living together in relative harmony
ex) Delaware/OWU remapped as “ecosystems” or mini-biomes: apply bio-methodologies to urban area
ex) map carbon footprints?
ex) mapping “tiny wildernesses” in our own backyard

Look at Strange Maps for strange map ideas.

Use personal knowledge / major to enhance project: computer science, zoology, biochemistry, geography, economics, environmental studies, economics management, …

Content: now: where stuff is is important: recycling, bike infrastructure, public transport, green organizations, farm markets, where to buy local food, etc.

Content: historical: any reason to include the environmental history of the OWU/Delaware area?

Content: future: speculative Green spaces (as with the bike trails map, these speculations can become reality): removal of Highway 23 bypass

Notes based on what students found first round:

Green Map – official site, with symbols showing locations

Too much information: overwhelming and complex

Composting Map: focus on one category – so a series of maps focused on different subjects (a series of 8.5 x 11 maps or legal size)

Green Infrastructure: biome or ecosystem map, protected, parks, wildlife, “habitat” – data source for Delaware area? Student and community derived info? Some on the paper map and updatable web map? Bit by bit building up the “green infrastructure.” Community green ecosystem data collection.

Green Business: promote and fund the project

Univ Kentucky: sustainable living/efforts vs green locations map

What have other student projects looked like?

A series of smaller maps divided up by geography (Delaware S, E, N, W, OWU)

Towson University Student Green Map: campus focus, aimed at students alone: too restrictive

Glasgow map mashup Green Map: too much human infrastructure

Birding Trail Maps: focus on birds, environment, activity – birdwatching

DC Tree maps: too much information – derive it somehow?

Locations of Green stuff: what categories, where do you stop?

Open Green Map: template, generic

Stress data and information that is more stable over time, but include other info (businesses, etc.)

Environmapper: toxins; relate to environmental justice

Flip over green vs grey maps (double sided) of OWU / Delaware: good vs evil

Stress activities that promote green

Poll students on cool green eco enviro things to do near campus: crowdsourcing

Potential green: passenger rail thru Delaware

Microenvironments: SEM images

Mini maps of green sites: and how to get there: “outsets” (insets?) of green spaces away from OWU/Delaware.

Rainstorm: safe places to sit out in the rain

Liability

DATA bus system

Chartwells: carbon footprint of a dinner, or specific items; local global impact of specific items

Perspective: oblique view vs view from above

Solar Panel Permits: other permit based data

Alachua County Florida Interactive Green map: lots of useful layers

Tokyo green bike map

King’s County Emerald Green Map: campus sponsored but regional in scope

Geology, etc. natural world (more natural “infrastructure”)

Funding

••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••

Brainstorming: Monday January 25

  • This is difficult! Weird! Confusing!
  • You are defining a viable, interesting, and doable project
  • Combines issues of audience, format, content goals, data, with maps & GIS analysis
  • This is difficult! But real: engagement, application, active

To these ends…

1) Form reading presentation groups: 5 groups of 3

2) Same groups: synthesizing the course project: pulling order out of chaos!

  • Who is our audience?
  • What is the format of the final project?
  • Poster, page-maps, web, apps
  • Green vs Grey map (two sided)
  • What are they goals of the project? Develop 3-5 key terms/phrases & examples of content/data/information that serve to promote these key terms/phrases all in the context of a “green map” and GIS
  • ex) activity/engagement: green “games”
  • ex) green “infrastructure:” counter the typical human infrastructure map
  • ex) community integration: campus vs Delaware community split
  • ex) awareness: toxic neighbors
  • ex) understanding/education:
  • ex) promotion

3) Presentation of ideas (today and/or next time)

  • Monday Feb 1: Group blog posting, possible re-organizing groups
  • Wednesday February 18: Project proposals (from re-organized groups)

••••••••••••••••••••••••••••••••••••••••••••••

Below: junky notes (Jan 27) that I will revise.

Perc Tops

data set: Bibhas: where students are during the day:

field work: bike count, transect (other cool stuff to collect)

360 trash analysis data – where recycling focus

model where people are / where they want to be then put stuff there

ex) placement of bike racks

Local Foods vs what we currently eat on campus and where it is from (“A Tale of Two Scales”)

Where to go do green things: audience is students who want to do stuff, not locals who already know. But could be new faculty, new locals: so audience is new Delaware people.

Wooden Legos

Removing stereotypes

Contact with community members and nature

Education: aim at K-12 audience (but can be used by OWU students

New Possibilities

Wildlife: habitat, on campus, in region

Geology: Passive GeoThermal potential

Transportation: non car (DATA, bikes, walking): relates to many different projects

Map with symbols: link to cards with more details (specific bird, geologic feature): kids

Birding, hiking, target people who don’t do this stuff

Blank Dominoes

Building electricity use: requires access to this data!

Where does electricity come from for campus?

metric: energy use taking into account number of people in space & size

Use where students are data

Quick energy assessment study OR

Wasted energy: inventory: set up a survey with a defensible sampling method

Building cards: with Green info (Admissions)

Raise awareness: unplug, turn off, green mini-activites

Recycling locations

Get maps on the web site – cycle thru on main page

Sprinkler Heads

Assess “green businesses” based on how they operate (rather than what they sell): assessment procedure.

Air pollution / health / where to get data, scope/scale,

Waste reduction NCAC thing

Shakers

Energy, heat waste (regroup?)

Water usage? Waste?

Rainwater harvesting potential – use for?

Encouraging walking: methods to show that walking is possible (comparative),

MPG of vehicles on campus: sample

Audience: new students, potential students

Important audience: potential and new students.


W J 20: Geospatial Analysis text: Intro + Conceptual Frameworks

January 19, 2010

Technology shapes how we do things…

Geospatial Analysis – A Comprehensive Guide

Notes and examples on “Introduction & Terminology” and “Conceptual Frameworks for Spatial Analysis.”

Introduction & Terminology

1. On applications

2. GIS, Spatial Analysis, and Software

3. Terminology & Definitions

Conceptual Frameworks for Spatial Analysis

The Geospatial Perspective: “a distinct perspective on the world, a unique lens through which to examine events, patterns, and processes that operate on or near the surface of our planet.”

The domain of geospatial analysis is the surface of the Earth, extending upwards in the analysis of topography and the atmosphere, and downwards in the analysis of groundwater and geology. In scale it extends from the most local, when archaeologists record the locations of pieces of pottery to the nearest centimetre or property boundaries are surveyed to the nearest millimetre, to the global, in the analysis of sea surface temperatures or global warming. In time it extends backwards from the present into the analysis of historical population migrations, the discovery of patterns in archaeological sites, or the detailed mapping of the movement of continents, and into the future in attempts to predict the tracks of hurricanes, the melting of the Greenland ice-cap, or the likely growth of urban areas.

Geospatial Analysis: what happens where, and makes use of geographic information that links features and phenomena on the Earth’s surface to their locations.

1. Basic “Primitives”

  • place: complicated concept: Wikipedia
  • attributes: “any recorded characteristic or property of a place” + measurement levels (qualitative, quantitative) + examples in ArcGIS
  • objects: raster (images) & vector (points, lines, areas): here and below (from Making Maps):

rastervector

justscale generalization

2. Spatial Relationships

  • co-location: correlation of asbestos (vermiculite ore) and mesothelioma
  • distance and direction: garbage pickup (network analysis)
  • spatial context: more or less the same as co-location
  • neighborhood: defining a neighborhood (buffer) in GIS and viewsheds
  • spatial heterogeneity: “The results of any analysis over a limited area can be expected to change as that limited area is relocated, and to be different from the results that would be obtained for the surface of the Earth as a whole.”  In essence, places are complicated and prediction from place to place difficult.
  • spatial dependence: even though places are complicated: Tobler’s “First Law of Geography”: “All things are related, but nearby things are more related than distant things.”  Example: Bike trails and property values
  • spatial sampling: weather map and terrain:

contours

  • spatial interpolation: filling in between known data

polation

  • smoothing and sharpening (generalization; see above)

3. Spatial Statistics

4. Spatial Data Infrastructure

metadata1

  • Interoperability: standards for spatial data (so everything works together): OGC

…All this jargon…

headache


M J 14: GIS & GIS Applications I: Schuurman ch 1

January 13, 2010

1. Readings

Schuurman ch. 1, “Geography Matters”

Introducing the Identities of GIS

The Success of GIS: is it now what Geography is?  Ubiquitous technology & computing (example)

“This book is designed to inform the reader about precisely how GIS affects them as well as myriad social processes” (1)

  • a more human & social approach to technology, intellectual rather than only technological

The problem of GIS and geography: love/hate

  • GIS as one way of understanding “geography” – other approaches may be lost in the dust
  • quantitative vs. qualitative methods
  • epistemology: The branch of philosophy that studies the nature of knowledge, its presuppositions and foundations, and its extent and validity.  How we know.

Identity of GIS: what is it?

Delware County Ohio: DALIS Project: a tool for storing complex data; practical problem solving

  • what is where

“PsychoGeography” maps / Mental Maps

  • a different what and where it is
  • weird stuff

Delaware Recreational Trails

  • what is most important when locating a recreational trail?
  • logic of quantitative methods for optimizing, or qualitative data used to anticipate how people will react (and why)?  Epistemological issues!
  • Delaware Trails research paper (PDF)

Where Does GIS Come From?

  • 1960s era technology and epistemology

McHarg and the GIS “overlay” method: locating a road: pre-computer era

  • encode in a computer: technology and a particular way of knowing
  • what is not taken into account in this approach
  • spatial analysis: a means of extracting information (knowledge) from data
  • let a computer do what McHarg did
  • maps allow us to see raw data, or interact with data as we are analyzing it, or show the results of what we did
  • 1950s-60s: development of computational analysis and spatial analysis tools
  • wed technology to methods of knowing

The Messy Business of Digging for Roots: GIS’s Intellectual Antecedents

Examples of the Precursors of GIS: technology is easy, epistemology not

  • ex) certain kinds of data easier to collect and analyze and map, they seem more intuitive maybe because they are what we are used to doing.
  • ex) Historians reluctance to use GIS: Historical GIS

What does GIS stand for?

  • definitions describe technology (systems; application): GIS(ystems) = GIS
  • hard/software for data input, analysis, output
  • “black box:” assume the methods in the software are legitimate, don’t question
  • definitions describing methods and process (science; theory): GIS(cience) = GISci
  • origin of the methods, critique of the methods, new methods
  • conceptual models of geographic space, sphericity of the real world vs. flat world of GIS,
  • uncertainty and error, analytical methodologies, cognitive aspects.
  • also Participatory GIS, Critical Cartography & GIS: myriad of human/social issues
  • justifying and shaping an intellectual/academic role in GIS
  • myriad of issues of intellectual importance (that one may not think about at all if only approaching GIS as black box technology).
  • epistemology (how we know)
  • ontology (what the world must be like in order to be known): in GIS, points, lines, areas… is that what the world is like? Or what it is like in order for us to understand it?
  • example) species range maps (what is a range? a species?)

  • does geography (and its concepts/theories) drive GIS, or does GIS drive geography?  Debates in the field.

Data in, Information Out: Common Ground between GISys and GISci

GISys and GISci hard to differentiate in practice

  • ex) data classification: the categories we put things into
  • ex) house: what defines what a house is?  Is an apartment a house?  A dorm?  A condo?  A long-term residential hotel?  The kind of issue both Sys and Sci people have to deal with
  • ex) boundaries: complexity in drawing: neighborhood boundaries have to be drawn if you are using GIS, but where to draw them?  How do you define a neighborhood (which is a classification of place)
  • visualization: using intuition and knowledge to see patterns and connections:
    different epistemological approach – visual, not analytical.
  • Dr Snow example: Broad St. pump and cholera p. 15

Geography Matters

2. Your Introductions & Interesting GIS application (w/examples)

  • Major, year, experience with mapping & GIS, hobbies, future goals, favorite goat breeds, etc.

3. Next Time

  • see course schedule
  • after class: blog clean-up and questions

M J 11: Introduction to Course, Course Projects, and Course Blogs

January 9, 2010

unexplainedface

On Pareidolia

Geography 355: a follow up to Geography 222 & 353

  • But no prereq!  Why?  Problems with this! Or not!
  • Best to take 222 then 353 then 355 but any combination OK

Different ways to teach a GIS course:

  • Lectures + series of exercises (Geog 222)
  • Lectures + one big exercise broken into parts (Geog 353)

Or get away from those formats: more open, flexible, interactive

  • Student presentations of readings (w/some faculty presentations)
  • Self guided tutorial (w/faculty help)
  • Applied, real-world group project or projects (practicum, service learning, etc.)

Exhibit A: GIS Texts for course (Schuurman, Mitchell, Getting to Know ArcGIS 9.3) and software (ArcGIS)

  • GIS: set of concepts and hardware and software
  • Data input, analysis, output
  • Capabilities and applications expanding exponentially
  • Data Input (how?)
  • Data Layers (examples)
  • Data analysis (property owners along a particular trail)
  • Data output (printer)
  • ex) Delaware GIS Data in ArcGIS
  • all in a social/human context (Schuurman book)

Course goal: become familiar (or more familiar) with GIS concepts, functionality, software

Exhibit B: Delaware Recreational Trail and Green Spaces materials; Mapping Ambivalence paper; Environmental Justice materials; SNC Projects (2008, Fall)

GIS is so popular because it is useful: many applications, but GIS applications are a lot of work!

  • Data input: where is data from?  format?  what data do you need?
  • typical: 50% to 75% of time and cost is in finding and processing data in any GIS project
  • Output: on computer screen?  paper?  WWW?  To what audience?

The complexities of an actual application

  • Understand the software, your data and the application area, the research process, goals.
  • The human context: working in a group, project politics, costs involved, institutions within which GIS is supposed to function

Course Goal: Learn that GIS is much more than a bunch of software functions in Arc GIS

The goal this semester is to bring together exhibits A and B

  • Learn about GIS as a software tool: its functions, capabilities
  • Apply what we learn to a real world project
  • In working through a real world application we will learn what GIS is really about much more than just software and hardware

Geography 353: Scripted project, all figured out for you, me active, you more passive

  • Useful for learning…but limited…just following instructions

This course: a bit more active learning for all of us

  • We will work as a group (or in sub groups) throughout the semester
  • You will be active in shaping what we do and how we do it
  • The success of the course depends on your engagement in the course
  • You will push yourself and me to get the most you can get out of this course

Problems: anxiety provoking, potential for disorder and problems, unmotivated & passive students

Benefits: learn a lot in “real world” setting with real problems to solve, forced to move beyond passive lump in class, maybe even have an impact

OWU students: smart, motivated, engaged; and small class sizes

  • Upper level courses should involve real engagement (so that is what I expect)

Bottom Line: for this course to work:

  • Active participation by all students: lumpen passivity not allowed
  • Collaboration with each other and OWU and community folks
  • Students should expect to play an active and vital role in the class and in the project!

Review: Syllabus and Schedule and General Course Structure (blog)

Create your Course Blog

1) go to wordpress.com

2) sign up and create a blog

3) set up the look of the blog and create some categories

  • Class Readings
  • Class Project
  • Class Exercises
  • Evaluations
  • Personal

4) new post: introduction to you

5) new post: Schurmann reading (ch. 1) notes, comments, questions

6) new post: One GIS application area of interest, with at least 3 links & graphics

7) email me the URL to your Blog by the end of class today and have the other stuff done by class time Wednesday.


Bloggy Updates for Spring 2010

January 5, 2010

The delightful yet informative blog for Geography 355 Geographic Information Systems is now updated (syllabus, schedule – see tabs above) for Spring 2010.


End of the Semester!

April 29, 2009