Fall 2010 11.520 : A Workshop on Geographic Information Systems 11.188 : Urban Planning and Social Science Laboratory Instructor:

Slides:



Advertisements
Similar presentations
Associating Attribute Data In GIS With support from: NSF DUE Prepared by: in partnership with: John McGee Jennifer McKee Geospatial Technician.
Advertisements

NSF DUE ; Module 4.3. NSF DUE ; GeoTEd Partners Module name and number.
Analysis in 9.2: Overlay. Analysis Usually starts with selection… Why? Because –Many steps in analysis are simply selection by Attribute OR Location –Most.
From portions of Chapter 8, 9, 10, &11. Real world is complex. GIS is used model reality. The GIS models then enable us to ask questions of the data by.
GIS Level 2 MIT GIS Services
Raster Based GIS Analysis
Border around project area Everything else is hardly noticeable… but it’s there Big circles… and semi- transparent Color distinction is clear.
19 th Advanced Summer School in Regional Science Combining Vectors and Rasters in ArcGIS.
Learning ArcGIS Desktop Topics Covered in Module 1 CVEN 2012 – Geomatics University of Colorado – Boulder April 2006 Alyssa McCluskey.
Lecture 16: Data input 1: Digitizing and Geocoding By Austin Troy University of Vermont Using GIS-- Introduction to GIS.
BASIC SPATIAL ANALYSIS TOOLS IN A GIS
Fundamentals of GIS Materials by Austin Troy © 2008 Lecture 18: Data Input: Geocoding and Digitizing By Austin Troy University of Vermont NR 143.
1 CIS / Introduction to Business GIS Winter 2005 Lecture 2 Dr. David Gadish.
What Geoprocessing? Geoprocessing is the processing of geographic information. Commonly used to describe a process when geographic objects are manipulated.
1 Some ideas for students to think about while doing class evaluation Goals of the course: To teach anyone who wants to learn GIS, GIS. It is an intro.
19 th Advanced Summer School in Regional Science Overview and more advanced directions with ArcGIS.
Dr. David Liu Objectives  Understand what a GIS is  Understand how a GIS functions  Spatial data representation  GIS application.
@ 2007 Austin Troy. Geoprocessing Introduction to GIS Geoprocessing is the processing of geographic information. – Creating new polygon features through.
Let’s pretty it up!. Border around project area Everything else is hardly noticeable… but it’s there Big circles… and semi- transparent Color distinction.
Intro. To GIS Lecture 6 Spatial Analysis April 8th, 2013
GIS 2, Final Project: Creating a Dasymetric Map for Two Counties in Minnesota By: Hamidreza Zoraghein Melissa Cushing Caitlin Lee Fall 2013.
@ 2007 Austin Troy. Geoprocessing Introduction to GIS Geoprocessing is the processing of geographic information. Perform spatial analysis and modeling.
GIS Tools Workflow of GIS Tools to Determine Properties Suitable for Migratory Bird Foraging Sites.
Basic Spatial Analysis
Habitat Analysis in ArcGIS Use of Spatial Analysis to characterize used resources Thomas Bonnot
Selecting and Displaying Features. Why do you need to select features? Why do you need to select features? Selection methods Selection methods Select.
Lecture 9 Managing a GIS project. GIS analysis Collect and process data to aid in decision making  Use the data to make decisions  Identify alternatives.
Vector Analysis II Reading Assignment: Bolstad Chapter 9 (pp )
GIS2: Geo-processing and Metadata Treg Christopher.
Fundamentals of GIS Materials by Austin Troy © 2008 Lecture 18: Data Input: Geocoding and Digitizing By Austin Troy University of Vermont.
Exploring your geospatial data. It’s all about Relationships!
Using GIS to Identify and Analyze Prospective Locations John Mazzello CRP 551 Final Project July 27, 2011.
Green Infrastructure Network Design Analysis Beaufort County, North Carolina.
San Luis Obispo County Planning and Building Department Jeff Legato Mapping and Graphics Specialist
University of Palestine Faculty of Applied Engineering and Urban Planning GIS Course Spatial Analysis Eng. Osama Dawoud 1 st Semester 2009/2010.
Data Queries Selecting features in ArcMap Data queries  Important part of a GIS project Can be a part of your data preparation or final analysis  Data.
Database and Data File Management Oct 6/7/8, 2010 Fall 2010 | / Recitation 2.
Geo-processing tools Tools: Buffer Geo-processing tools allow you to work with your data bases on spatial relations.... at a specified distance... with.
Data Creation and Editing Based in part on notes by Prof. Joseph Ferreira and Michael Flaxman Lulu Xue | Nov. 3, :A Workshop on Geographical.
1 of 30 GIS for Reservoir Management: Estimating Original Gas In Place Jeffrey Vu, M.GIS Candidate Dr. Patrick Kennelly, Advisor.
NR 143 Study Overview: part 1 By Austin Troy University of Vermont Using GIS-- Introduction to GIS.
The Countywide Zoning Dataset AIMS Coordinators Meeting 1/15/2004.
Analysis in 9.0. What’s Next To be really accomplished in GIS (or GIT) you need the following … –Vector GIS (You got it) –Raster GIS (FOR556) –Expert.
Selecting features in ArcMap
Definition of Spatial Analysis
Introduction to Geographic Information Systems Fall 2013 (INF 385T-28620) Dr. David Arctur Research Fellow, Adjunct Faculty University of Texas at Austin.
Analysis in 9.0. What’s Next To be really accomplished in GIS (or GIT) you need the following … –Vector GIS (You got it) –Raster GIS (FOR556) –Expert.
GEOG 2007A An Introduction to Geographic Information SystemsFall, 2004 C. Earl Queries can be used: to check data correctness to obtain info as steps in.
Environmental GIS Nicholas A. Procopio, Ph.D, GISP
Introduction to GIS All materials by Austin Troy © 2003, except where noted Lecture 8: Site Selection and Suitability Analysis and Criterion- based mapping.
Intro. To GIS Pre-Lab Spatial Analysis April 1 st, 2013.
MCE: Criteria Development and the Boolean Approach Exercise 2-7.
CENTENNIAL COLLEGE SCHOOL OF ENGINEERING & APPLIED SCIENCE VS 361 Introduction to GIS SPATIAL OPERATIONS COURSE NOTES 1.
Pesticide Use Web Mapping Application Joanna Nishimura Fall 2014.
CHAPTER SEVEN GEOPROCESSING TOOLS. INTRODUCTION Reality > Conception > Representation > Analysis > Documentation > Storage > Distribution Geoprocessing.
Overlay Operations. Overlay Operations involve combining spatial and attribute data from two or more spatial data layers. “Stacking data” – Very powerful.
Graduate Students, CEE-6190
GIS Institute Center for Geographic Analysis
Vector Analysis Ming-Chun Lee.
Emma Gildesgame, Katie Lebling and Ian McCullough
Presented by Shaynee Gulliford
Finding Wind Turbine Locations in Northwest Lower Michigan
Emma Gildesgame, Katie Lebling and Ian McCullough
Preliminaries: -- vector, raster, shapefiles, feature classes.
Nicholas A. Procopio, Ph.D, GISP
GIS Institute Center for Geographic Analysis
Vector Geoprocessing.
Urban Statistics on a national scale in the Netherlands
GIS Institute Center for Geographic Analysis
GregWroblicky_script_Part01.py Source Datasets.
Presentation transcript:

Fall : A Workshop on Geographic Information Systems : Urban Planning and Social Science Laboratory Instructor: Prof. Joseph Ferreira, Jr., Teaching Assistant, Lulu Xue, Teaching Assistant, Shan Jiang, Recitation 3. Site Suitability Analyses (HW2-2)HW2-2 October 27/28, 2010

Question: Site a convention center in a small tourist town. – Criterion 1: open land – Criterion 2: adjacent to roads (within 100m) – Criterion 3: slope less than 5 degrees – Criterion 4: a level area greater than 1.5 acres To perform the analysis, what kinds of datasets are needed?

Step 0--A Snapshot of the ArcMap Data Layer View

Select open land (select by attribute) Create road buffers buffer (“dissolve = ALL”) Intersect areas (intersect) maximal slope of each parcel (sub-parcel) zonal statistics & select by attribute Parcel layer Road layer slope layer Select parcels (sub-parcels) greater than 1.5 acres Select by attribute Conceptual Framework to Approach this Question Note: For the purpose of demonstrating the “intersect” operation, we assume that the parcel is divisible, but cannot be merged with each other. In many cases in the real world where the assumption is that parcels are not divisible, you should then use “select by location” instead of “intersect”.

Select open land (select by attribute) Create road buffers buffer (“dissolve = ALL”) Intersect areas (intersect) maximal slope of each parcel (sub-parcel) (zonal statistics) Parcel layer Road layer slope layer Select parcels (sub-parcels) greater than 1.5 acres Select by attribute Step1 Conceptual Framework to Approach this Question: Step 1

Step 1--A Snapshot of ArcMap view: selecting parcels that are open land (criterion 1) are both correct. SQL: "landuse" = 'open' Or SQL: "landuse" LIKE 'open' are both correct.

Step 1--A Snapshot of ArcMap view: selecting parcels that are open land (criterion 1) are both correct. SQL: "landuse" = 'open' Or SQL: "landuse" LIKE 'open' are both correct. Notice that SQL : "landuse" IS 'open' does not work.

Select open land (select by attribute) Create road buffers buffer (“dissolve = ALL”) Intersect areas (intersect) maximal slope of each parcel (sub-parcel) zonal statistics & select by attribute Parcel layer Road layer slope layer Select parcels (sub-parcels) greater than 1.5 acres Select by attribute Step2 Conceptual Framework to Approach this Question: Step 2

Step 2--A Snapshot of ArcMap view: buffering road by 100 meters, and dissolve all (criterion 2)

Step 2--Snapshots of ArcMap view: the buffering result. Which one did we get from this step?

Yes, this is the winner!

Select open land (select by attribute) Create road buffers buffer (“dissolve = ALL”) Intersect areas (intersect) maximal slope of each parcel (sub-parcel) zonal statistics & select by attribute Parcel layer Road layer slope layer Select parcels (sub-parcels) greater than 1.5 acres Select by attribute Step3 Conceptual Framework to Approach this Question: Step 3 Note: For the purpose of demonstrating the “intersect” operation, we assume that the parcel is divisible, but cannot be merged with each other. In many cases in the real world where the assumption is that parcels are not divisible, you should then use “select by location” instead of “intersect”.

Step 3—A Snapshot of ArcMap view: intersecting the “openland” + “roads_Buffer” layers (criteria 1 & 2)

Road buffer: “roads_Buffer” layer Open land: “openland” layer Intersection result: “roads_open_Inter” layer Step 3--Snapshots of ArcMap view: intersecting the “openland” + “roads_Buffer” layers (criteria 1 & 2) Note: For the purpose of demonstrating the “intersect” operation, we assume that the parcel is divisible, but cannot be merged with each other. In many cases in the real world where the assumption is that parcels are not divisible, you should then use “select by location” instead of “intersect”.

Step 3--Snapshots of ArcMap Attribute Table view: intersecting the “openland” + “roads_Buffer” layers (criteria 1 & 2) “openland” layer attribute table: 390 rows Resulting “roads_open_Inter” layer attribute table: 250 rows Dissolved “roads_Buffer” layer attribute table: 1 row The “FID” from the “openland” layer is attached to the “roads_open_Inter” layer, and is the “FID_openla” field in the “roads_open_Inter” layer now.

Select open land (select by attribute) Create road buffers buffer (“dissolve = ALL”) Intersect areas (intersect) maximal slope of each parcel (sub-parcel) zonal statistics & select by attribute Parcel layer Road layer slope layer Select parcels (sub-parcels) greater than 1.5 acres Select by attribute Step4 Conceptual Framework to Approach this Question: Step 4 Note: For the purpose of demonstrating the “intersect” operation, we assume that the parcel is divisible, but cannot be merged with each other. In many cases in the real world where the assumption is that parcels are not divisible, you should then use “select by location” instead of “intersect”.

Step 4-- Snapshots of ArcMap view: the slope layer (a raster layer) Zoom in to a local area

Step 4–Snapshots of ArcMap view: Zonal Statistics (Note: the output is only a raster layer, “ZonalSt”, without a table)

Step 4– A Snapshot of ArcMap view: Zonal Statistics (Note: the output is only a raster layer, “ZonalSt”, without a table)

Step 4– Snapshots of ArcMap view: Zonal Statistics as Table (the input dialog view) (Note: the output is only a table– see next slide)

Step 4–Snapshots of ArcMap view: Zonal Statistics as Table (the output view) (Note: the output is only a table: ”ZonalSt_Table”)

Step 4–Snapshots of ArcMap Attribute Table View: Join the attribute table of the “roads_open_Inter” layer(result from step 3) with the zonal statistics table “ZonalSt_Table”, based on “FID_openla” = “VALUE”

Step 4– A Snapshot of ArcMap Attribute Table View: Join the attribute table of the “roads_open_Inter” layer(result from step 3) with the zonal statistics table “ZonalSt_Table”, based on “FID_openla” = “VALUE” The layer attribute table after “join” contains Slope information from the zonal statistics table. Slope Information

Step 4-- Snapshots of ArcMap view: select by attributes (criterion 3: the maximum slope variable is less than 5 degree)

Step 4-- Snapshots of ArcMap view: export selected features as a new layer, “candidates.shp”

Select open land (select by attribute) Create road buffers buffer (“dissolve = ALL”) Intersect areas (intersect) maximal slope of each parcel (sub-parcel) (zonal statistics & select by attribute) Parcel layer Road layer slope layer Select parcels (sub-parcels) greater than 1.5 acres Select by attribute Step 5 Conceptual Framework to Approach this Question: Step 5

Step 5– Snapshots of ArcMap view: select by attributes (criterion 4: the land acre, field “GIS_Acres”, is greater than 1.5 acres)

Step 5– A snapshot of ArcMap view: select by attributes (criterion 4: the land acre, field “GIS_Acres”, is greater than 1.5 acres) (3 out of 31 candidates were selected, as highlighted in the table)

Step 5– Snapshots of ArcMap view: export the selected features

Step 5– A snapshot of ArcMap view: final results for the site suitability question (using the slope raster layer as a background) (the highlighted red parcels meet the criteria )

Step 5– A snapshot of ArcMap view: final results for the site suitability question (using the world image as a background) (the highlighted red parcels meet the criteria )

Questions?|Ask Us Start to think about potential topics for the final term project Examples – Race and ethnicity for the top 40 cities in the United States, and for Chicago the top 40 cities in the United States Chicago

Questions?|Ask Us This Power Point was prepared by Lulu Xue and Shan Jiang, Oct 2010 Dataset for the site suitability study was modified from the 2010 GIS test-out exam provided by Prof. Michael Flaxman