GeoPlanner: Site Suitability Analysis

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Presentation transcript:

GeoPlanner: Site Suitability Analysis Rob Stauder Esri Corporate Template-Dark v3.3 16:9 version – January 21, 2016 For more templates, sample files, and icons, see https://compass.esri.com/resources/presentations/Pages/Main.aspx To add footer text in Windows On the Home tab, under Insert, click Text, and then click Header and Footer. Click the Slide tab, select the Footer check box, and then type the footer text that you want. Click either Apply or Apply to All. To add footer text on a Mac On the View menu, select Header and Footer. Select the Footer check box and then type the footer text that you want. If footers don't appear on the slides If footers don't appear on title slides, in the Header and Footer dialog box make sure the Don't show on title slide check box is not selected. If the footers are missing from other slides, the placeholders for these items might have been removed from specific slide layouts or the slide master.

Suitability Modeling using Weighted Raster Overlay GeoPlanner allows you to perform suitability analysis through a technique known as weighted raster overlay Think of this as finding the best location, or finding risks and opportunities in an area

What is Weighted Raster Overlay? Overview Input Rasters Output Image Classify Weight Combine WRO – analysis technique that allows you to: Classify, weight, and combine several different types of information and visualize it so you can evaluate multiple factors at once

Site Risk Analysis Where is fire risk highest in the forest? Factors layers that would help us identify high fire risk Example: Lake Fire, San Bernardino Mountains, June 2015 Image: https://upload.wikimedia.org/wikipedia/commons/5/56/Forest_Fire_Beyond_Lake.jpg

Site Suitability Analysis Which locations are suitable for a new housing development? Image: https://c2.staticflickr.com/4/3034/2850476641_20063e2d47_b.jpg

How Does Weighted Overlay Work? Overview Conceptually: Values within each raster layer are classified or normalized to a common suitability scale Layer assigned a weight, as a percentage – allows you to emphasize the importance of that layer all raster layers in the analysis are overlaid Cells that overlay are totaled Output values mapped to a color ramp

Weighted Raster Overlay Services Implemented as image services with raster functions ArcGIS Server Mosaic Image Service GeoPlanner The system works by: Create a mosaic dataset Share to AGS and an image layer Access layer in GeoPlanner Process is enabled by a raster function – a “rendering rule” Creates no intermediate datasets – Function or rule controls how pixels are painted Process is fast   Raster Function

Demo

Use Your Data Build your own weighted overlay service

Build a Weighted Overlay Service System Requirements ArcGIS 10.3.1 or newer Desktop Weighted Overlay Service Toolbox Server Advanced ArcGIS Online or Portal for ArcGIS GeoPlanner for ArcGIS

Build a Weighted Overlay Service Process Overview There are three steps: Prepare your rasters Load your rasters into a mosaic & add some additional information Share to ArcGIS Server which adds an item to your portal or AGOL org Then you can access the service from GeoPlanner Prepare Data Build Mosaic Share Service Access Service

Build a Weighted Overlay Service Prepare your data – Convert to TIF Raster .tif Vector Convert your data to TIFFs Try to use the same cell size Optionally: Handle no data – calc to another value Use web Mercator for spatial ref No Data?

Build a Weighted Overlay Service Prepare your data – Create a suitability scale In Data Ranges (deg) Suitability Value 0 – 5 9 5 – 14 7 14 – 22 5 22 – 31 3 31 - 82 1 Next you need to classify or normalize you dataset values in each raster to a common scale On the left is a classification of values 0-82 in 5 groups We need to normalize each classification range to a common scale. allows us to compare (overlay) different ranges of values from different datasets <click> Input data values of 0-5 are normalized to suitability value of 9 – Subjective – 9 usually indicates highly suitable. Suitable for what? In this case, perhaps a new housing development or a dog park Probably not suitable for a ski area.

Build a Weighted Overlay Service Build a mosaic dataset Mosaic Once we have created a suitability scale for all input rasters Run a special build mosaic tool to create our mosaic Adds fields to store input data ranges and suitability scale output values Created as web Mercator In a File GDB fGDB

Build a Weighted Overlay Service Share the mosaic dataset as a service ArcGIS Server Mosaic Once the mosaic is created – Share it as an image service to ArcGIS Server Creates a service URL that is shared as an item to AGOL or portal Image Service Access Service

Demo

Want to learn more? Documentation Additional Resources Build your own weighted overlay service Additional Resources Weighted Overlay Service Toolbox Want Esri to build and host your service? Managed Services

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