1. The Sweet Spot for Spatial Analysis: Using Online Content
Charlie Frye, Caitlin Scopel, Michael Dangermond, ESRI

2. Why do Spatial Analysis with Online Services?
Your
Desktop
Web
Device
Never download data again
No pre-processing
Reduced risk of processing errors
Increased productivity
Large selection of Ready-To-Use layers
Use the most current data
Real-time or near-real-time services
Historical data available in many cases too
Living Atlas
Online Content and Services

3. What You Will Learn Types of online content
The Living Atlas. What’s there, why it’s different from ArcGIS Online Content
How to perform analysis with online content

4. What We Mean When We Say: “Analysis”
Input
e.g. Temperature Data
Transformation
Geoprocessing
Interpolation
Model
Output
Map of projected
Temperatures)
No local data required
Output can be to a desktop computer or your online account.

5. Online Content as Inputs to Analysis
Imagery Layer – Image service – raster data – probably good for analysis
Map Image Layers - possibly good for analysis
Cached – analysis is not possible
Dynamic – possibly good for analysis
Single layer – worth a try (depends on how it was served)
Group layers – not possible
Tile Layers – Map service – Cached – not for analysis
Feature Layers – Map service, feature access enabled – vector data – good for analysis
Designed for editing, draws slower than a dynamic map service

6. Other Online Analysis Concepts
Online Analysis Options
Built-in Analysis Tools
Enrichment
Proximity
Geoprocessing Services
Geocoding Services 3d
Time Series

7. ArcGIS Online and The Living Atlas
The Living Atlas is the BEST of ArcGIS Online
Curated by Esri Employees
Ready to use across the Platform
The Collection is growing and changing
on a daily basis…

8. Network Analysis
Charlie Frye

9. Enrichment
Charlie Frye

10. Time-Enabled Services
Michael Dangermond

11. Analysis With Near Real-Time Data
Caitlin Scopel

12. NAIP Imagery Services
Charlie Frye

13. Elevation Services
Charlie Frye

14. Working with an image service in python
Connect to online rasters, use them in python
Set your destination environment.
projection
Snap raster
Create a connection file which can be used to connect to a GIS server.
Use the connection file to make an image server layer.
Optional: Copy raster from the image server layer

15. Extracting your own raster from an image service
Example: Retrieving a piece of the landforms service from the landscape server for local analysis
sr = arcpy.SpatialReference(54009) arcpy.env.outputCoordinateSystem = sr arcpy.mapping.CreateGISServerConnectionFile("USE_GIS_SERVICES", scratchFolder, service, serviceUrl, "ARCGIS_SERVER", '', '', userName, passWord, "SAVE_USERNAME") arcpy.management.MakeImageServerLayer(Url, imageLayer, extentLayer,"#","#","#","#","#",cellsize)
service = "landscape7.ags"
serviceUrl = "
Url = os.path.join(tempFolder, "landscape7", "World_Landforms_Improved_Hammond_Method" + ".ImageServer“)
imageLayer = Landforms
extentLayer = str(ext.XMin) + " " + str(ext.YMin) + " " + str(ext.XMax) + " " + str(ext.YMax)
cellsize = 30

16. CreateGISServerConnectionFile
Parameters
out_folder_path = tempfile.mkdtemp(prefix="agd_")
out_name = "landscape7.ags"
server_url= "
arcpy.mapping.CreateGISServerConnectionFile("USE_GIS_SERVICES", out_folder_path, out_name, server_url, "ARCGIS_SERVER", '', '', userName, passWord, "SAVE_USERNAME")
out_folder_path = In this example Deniz and I had the output go into a temporary folder. You can create a temporary folder with python this way. You can make a little loop that copies data down into a temporary folder as TIFF images.
out_name= "landscape7.ags“ this is the connection file that is created. .ags must be the file extension.
serviceUrl = “
userName and passWord you can supply your server username and password here through variables, completely unsecurely, or build a form which pesters you for them each time you run the script.
CreateGISServerConnectionFile (connection_type, out_folder_path, out_name, server_url, server_type, {use_arcgis_desktop_staging_folder}, {staging_folder_path}, {username}, {password}, {save_username_password})

17. MakeImageServerLayer
Parameters
In_image_service = os.path.join(tempFolder, "landscape7", "World_Landforms_Improved_Hammond_Method" + ".ImageServer")
out_imageserver_layer = "Landforms"
template = str(ext.XMin) + " " + str(ext.YMin) + " " + str(ext.XMax) + " " + str(ext.YMax)
arcpy.management.MakeImageServerLayer(in_image_service, out_imageserver_layer, template,"#","#","#","#","#",cellsize)
service = "landscape7.ags"
serviceUrl = "
in_image_service = For the Url variable here we used os.path.join to pass a clean string made up of a temporary folder, the server landscape7, the service name which is the world landforms service, and dot imageserver at the end.
The out_imageserver_layer here is just an output filename.
For the template variable, build a little for loop which looks up that field in your feature layer or feature class. There is an extent object that you can get with a search cursor and then you get the xmin ymin xmax ymax properties from that extent object.
The cellsize is just a value was the closest to native cellsize for this service in Mollweide projection.
MakeImageServerLayer_management (in_image_service, out_imageserver_layer, {template}, {band_index}, {mosaic_method}, {order_field}, {order_base_value}, {lock_rasterid}, {cell_size}, {where_clause}, {processing_template})

18. Summary of service types with analysis context
Apps
Service Type
ArcGIS Online
ArcGIS Desktop
ArcGIS Pro
Imagery
Layer No
Yes*
Yes*
Yes*
Map
Image
Layer
(Dynamic)
Yes** No No
Yes**
Feature
Layer
Yes
Yes
Yes
Yes
* Web Mercator Projection must be managed
** For single layer dynamic map services

19. Thinking about web-based analysis
Think about how to use online content first rather than last.
Online analysis is just as powerful, and sometimes more powerful than desktop analysis.

20. After the Conference…
Download this presentation from Proceedings.esri.com or
Or US:

21. Similar Technical Workshops
Tuesday
3:15-4:15: Rethinking How You Style Your Online Maps
3:15-4:30: Working with Feature Layers
Wednesday
9:30-10:15: Working with Elevation Services
10:15-11:30: Understanding Earth: Spatial Analysis with Online Raster Content
1:30-2:45: Story Maps: Great Story Maps and How To Emulate Them
3:15-4:30: Participating in the Living Atlas of the World
3:30-4:15: Configure and Manage an ArcGIS Online Organization
Thursday
10:15-11:30: ArcGIS Online Content: Living Atlas of the World
10:15-11:30: ArcGIS Online: Data Exploration with Smart Mapping

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