1. Automating Analyses with ModelBuilder

2. Overview Why Use ModelBuilder? Why Use ModelBuilder? ModelBuilder Basics ModelBuilder Basics Common ModelBuilder Problems Common ModelBuilder Problems Advanced ModelBuilder Advanced ModelBuilder

3. Why Use ModelBuilder? An automation tool… An automation tool… But comes with some startup overhead But comes with some startup overhead Most useful in two circumstances Most useful in two circumstances Documents models & their parameterization Documents models & their parameterization Allows experimentation with model parameters – particularly for “weighting and rating” Allows experimentation with model parameters – particularly for “weighting and rating” Common Types of Models Common Types of Models ETL – Extract, transform and convert raw data ETL – Extract, transform and convert raw data Suitability – Building attractiveness maps Suitability – Building attractiveness maps

4. ModelBuilder Basics Basic idea is that of a “dependency diagram” Basic idea is that of a “dependency diagram” User specifies inputs, processing and outputs User specifies inputs, processing and outputs If inputs change, system repeats intermediate operations as needed If inputs change, system repeats intermediate operations as needed Diagram has three kinds of elements Diagram has three kinds of elements Inputs Inputs Geoprocessing Operations Geoprocessing Operations Outputs Outputs Output from one operation can be used as input to an other, allowing “chaining” Output from one operation can be used as input to an other, allowing “chaining”

5. ModelBuilder Setup Rather obscure to start…implemented as a custom toolbox tool Rather obscure to start…implemented as a custom toolbox tool Open toolbox panel Open toolbox panel Create empty toolbox Create empty toolbox Right mouse on Toolboxes, select New Toolbox Right mouse on Toolboxes, select New Toolbox Create empty model Create empty model Right mouse on new Toolbox, select New Model Right mouse on new Toolbox, select New Model Then populate model by drag and drop Then populate model by drag and drop Of data layers from map table of contents Of data layers from map table of contents Of geoprocessing operations from the toolbox Of geoprocessing operations from the toolbox Finally, wire data and processing boxes together Finally, wire data and processing boxes together

6. Example: Simple MB Model Goal Goal Create a factor map expressing simple proximity to residential landuse where output is classed from 1..9 Create a factor map expressing simple proximity to residential landuse where output is classed from 1..9 Method Method Create new model Create new model Add residential landuse Add residential landuse Add Euclidean distance geoprocessing operation Add Euclidean distance geoprocessing operation Connect landuse (input) to distance (process), specifying new grid (output) Connect landuse (input) to distance (process), specifying new grid (output) Run Run Add Reclass Operator Add Reclass Operator Connect output grid of distance operator to input of reclass, specifying new output grid Connect output grid of distance operator to input of reclass, specifying new output grid Run again Run again

7. Review of Simple Model Benefits Benefits Multiple logical steps encapsulated in a single step Multiple logical steps encapsulated in a single step Model Logic Recorded in Diagram Model Logic Recorded in Diagram Model Parameters Recorded Model Parameters Recorded Problems / Caveats Problems / Caveats Default is not to show results… Default is not to show results… Model as Created is 100% specific to particular data paths/locations on disk Model as Created is 100% specific to particular data paths/locations on disk Model Saving Bizarre.. Model Saving Bizarre.. Default operation names make no sense to end users Default operation names make no sense to end users Spatial Analyst Toolbar Options do *not* inherit Spatial Analyst Toolbar Options do *not* inherit

8. Showing Results Simple, but not Obvious Simple, but not Obvious Right Mouse on Output -> Add to Display Right Mouse on Output -> Add to Display If at first you don’t succeed, try toggling again If at first you don’t succeed, try toggling again

9. Saving / Finding Models By default, models saved in “My Toolboxes” folder By default, models saved in “My Toolboxes” folder Main menu Tools->Options->My Toolboxes Main menu Tools->Options->My Toolboxes Default is C:\Documents and Settings\(Username) \Application Data\ESRI\ArcToolbox\My Toolboxes Default is C:\Documents and Settings\(Username) \Application Data\ESRI\ArcToolbox\My Toolboxes Easiest to find in ArcCatalog/My Toolboxes Easiest to find in ArcCatalog/My Toolboxes Can “Add Toolbox” stored on disk Can “Add Toolbox” stored on disk

10. Making Models Generalizable Running Models Running Models Can Double Click on Models in Toolbox Panel Can Double Click on Models in Toolbox Panel By default, not too useful, because no user control of outputs By default, not too useful, because no user control of outputs Generalizing Models Generalizing Models By default, models only use exact data originally specified By default, models only use exact data originally specified To make a model into a true “tool” need to specify which inputs / outputs are variable parameters To make a model into a true “tool” need to specify which inputs / outputs are variable parameters Right mouse on input or output Right mouse on input or output Select “Parameter” (toggle) Select “Parameter” (toggle) After Parameters are set, double clicking brings up user dialog After Parameters are set, double clicking brings up user dialog

11. Making MB Diagrams Legible All elements can be “renamed” from right mouse menu All elements can be “renamed” from right mouse menu Rename layers if necessary to clarify Rename layers if necessary to clarify Explain intent of geoprocessing operations Explain intent of geoprocessing operations i.e. Isolate Residential Landuse instead of reclass1 i.e. Isolate Residential Landuse instead of reclass1 If Desired, change diagram properties If Desired, change diagram properties Square – Circle – Square Square – Circle – Square Box Background Colors Box Background Colors If you need better quality, export diagram… If you need better quality, export diagram…

12. Environment Variables in MB Note Note Spatial Analyst “Options” settings not inherited Spatial Analyst “Options” settings not inherited Must explicitly specify for MB Must explicitly specify for MB Two options Two options Can do once for all toolboxes (recommended) Can do once for all toolboxes (recommended) RM Top Toolbox->Environment Settings RM Top Toolbox->Environment Settings General Settings -> Extent General Settings -> Extent Raster Analysis Settings -> Cell Size Raster Analysis Settings -> Cell Size Can do once for each model Can do once for each model

13. Model 2: Weighted Overlay Goal: Goal: To Create an Attractiveness Model with ability to “Weight” factors To Create an Attractiveness Model with ability to “Weight” factors Method: Method: Create separate ModelBuilder models for each factor Create separate ModelBuilder models for each factor Nest models into master MB model Nest models into master MB model Combine with weighted overlay Combine with weighted overlay

14. Model 2 Implementation Factor 1: Proximity to Residential Factor 1: Proximity to Residential Factor 2: Proximity to Job Centers Factor 2: Proximity to Job Centers Created by copying and pasting factor 1 model and adjusting inputs and outputs Created by copying and pasting factor 1 model and adjusting inputs and outputs Weighting Weighting Factor 1 = 2X Factor 2 Factor 1 = 2X Factor 2 Use Spatial Analyst Weighted Overlay tool Use Spatial Analyst Weighted Overlay tool

15. Weighted Overlay Function Function Takes any number of uniformly scaled input (factor) grids Takes any number of uniformly scaled input (factor) grids Outputs the arithmetically-weighted average value at each grid cell Outputs the arithmetically-weighted average value at each grid cell Equal weights – similar to addition plus rescale Equal weights – similar to addition plus rescale

16. NoData Treatment in Weighted Overlay Any value averaged with NoData = NoData, Any value averaged with NoData = NoData, so must code “worst case” as some number so must code “worst case” as some number For attractiveness, this would be value “9” For attractiveness, this would be value “9” Make sure that areas beyond maximum distance specified in distance operations is recoded to 9 Make sure that areas beyond maximum distance specified in distance operations is recoded to 9 Or, in Overlay window, be sure to recode NoData inputs to output a value of 9 Or, in Overlay window, be sure to recode NoData inputs to output a value of 9

17. Weighted Overlay “Restricted” Category Important and useful! Important and useful! Over-rides averaging behavior if any one factor is “too bad” (as you define it) Over-rides averaging behavior if any one factor is “too bad” (as you define it) Restricted output value can’t be specified = (range) – 1 Restricted output value can’t be specified = (range) – 1 In case of 1..9 evaluation, becomes a 0 In case of 1..9 evaluation, becomes a 0 Thus requires further reclass to of 0 to 9 in order to maintain 1..9 range Thus requires further reclass to of 0 to 9 in order to maintain 1..9 range

18. Assignment for Monday 22nd Implement your attractiveness model in ModelBuilder (revising as needed based on crit) Implement your attractiveness model in ModelBuilder (revising as needed based on crit) Build one submodel for each factor Build one submodel for each factor Create one master model combining factors Create one master model combining factors Models should have elements renamed/formatted for review presentation Models should have elements renamed/formatted for review presentation Export model diagram as JPEG image for Powerpoint Export model diagram as JPEG image for Powerpoint Resulting revised Powerpoint due to “Attractiveness Team” Monday 22 nd 9am (or by negotiation with them) Resulting revised Powerpoint due to “Attractiveness Team” Monday 22 nd 9am (or by negotiation with them)

19. Midreview Prep Nov 1 & 2nd

20. Midreview Schedule Two Morning Sessions Two Morning Sessions Thursday November 1 Thursday November 1 9 – 9:45 Study Introduction, Visit & Base GIS Overview 9 – 9:45 Study Introduction, Visit & Base GIS Overview 9:45 – 10:15 Accessibility Analysis for Albacete 9:45 – 10:15 Accessibility Analysis for Albacete 10:15 – 10:30 Coffee Break 10:15 – 10:30 Coffee Break 10:30 – 12 Presentation of Scenarios 10:30 – 12 Presentation of Scenarios Friday November 2 Friday November 2 9 – 10:30 Presentation of Attractiveness Models 9 – 10:30 Presentation of Attractiveness Models 10:30 – 10:45 Coffee Break 10:30 – 10:45 Coffee Break 10:45 – 11:30 Review of related PhD project work 10:45 – 11:30 Review of related PhD project work 11:30 – 12 Summary with Reviewer Comments 11:30 – 12 Summary with Reviewer Comments

21. Midreview Logistics All students expected to present one topic All students expected to present one topic Could be Thurs or Friday Could be Thurs or Friday Logistics issue: sensible presentation dictates topic order, but some students can’t stay Thursday must present Friday Logistics issue: sensible presentation dictates topic order, but some students can’t stay Thursday must present Friday Therefore, will need some content swaps Therefore, will need some content swaps Need one student team to “produce” each module (based on content generated in part by others) Need one student team to “produce” each module (based on content generated in part by others)

22. Production/Presentation Teams Intro / Study Visit / Base GIS Team Intro / Study Visit / Base GIS Team Accessibility Team Accessibility Team Scenario Team Scenario Team Attractiveness Team Attractiveness Team

23. Team Assignment for Thursday 25th Inventory already-produced materials in section Inventory already-produced materials in section Outline module presentation order and presenters Outline module presentation order and presenters Assign clean-up and production tasks as needed Assign clean-up and production tasks as needed Thursday will be “production day” Thursday will be “production day” Review outlines with Stephen & I Review outlines with Stephen & I Gather materials from others, or schedule handoffs for Friday, etc. Gather materials from others, or schedule handoffs for Friday, etc. Produce base maps, explanatory introduction to section slides, etc. Produce base maps, explanatory introduction to section slides, etc.