Implementing Analysis in ArcGIS Runtime

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1 Esri Developer Summit March 8 11, 2016 Palm Springs, CA Implementing Analysis in ArcGIS Runtime Mike Branscomb Eric Bader David Lednik

2 Analysis Understand Places Determine relationships Find locations Detect patterns Observe change Make predictions analysis noun 1 a detailed examination of the structure and content of something. 2 a statement of the results of such an examination. insight noun 1 the ability to gain a relatively rapid, clear and deep understanding of the real, often hidden and usually complex nature of a situation, problem, etc.

3 Implementing Analysis Visualization Geometric operations Query data Geoprocessing Network analysis Analysis services

4 Where analysis happens Device App Process ArcGIS Online ArcGIS Runtime LocalServer Java,.NET, Qt ArcGIS for Server

5 Where analysis happens ArcGIS Runtime In process LocalServer On Device ArcGIS Server & Online In the cloud Visualization Y Y Y Geometric operations Y Querying data Y Y Y Network analysis Y Y Y Geoprocessing Y Y Analysis services Y

6 Implementing Analysis Visualization Geometric operations Query data Geoprocessing Network analysis Analysis services

7 Visualization Display defined by author and service GraphicsOverlay, CsvLayer FeatureLayer ServiceLayer KmlLayer Display defined by your app code

8 Visualization Renderers: Unique Value, Class Breaks, Temporal Symbols: Marker, Text, Line, Fill Generate Renderer operation - Returns a renderer object for the input classification method and color ramp Use for UniqueValues or ClassBreaks Samples the data within the service to determine correct breaks Exposed as GenerateRendererTask new GenerateRendererTask( ) Can use the MapService to generate a renderer for - FeatureLayer if using feature service associated with map service - GraphicsOverlay containing the results of a query against map / feature service

9 Visual Analysis Eric Bader

10 Implementing Analysis Visualization Geometric operations Query data Geoprocessing Network analysis Analysis services

11 Geometric Operations Geometric calculations - Determine spatial relationships - Determine distances between geometries - Derive new geometries as the Union, Intersection, Difference GeometryEngine Operates on arrays of individual geometries Not bound to data or services Performs a stateless computation Very efficient synchronous operations Executes within your app process The foundation for many workflows - e.g. click > buffer > query > project > display

12 Geometric Operations David Lednik

13 Implementing Analysis Visualization Geometric operations Query data Geoprocessing Network analysis Analysis services

14 Query Data Subset data by any combination of criteria - Attribute where clause e.g. POP >= Query geometry - Time extent Primary table and related tables

15 Query Data QueryTask.ExecuteAsync - Execution of query on server - Organize results using GroupBy, OrderBy - Obtains statistics for data: Sum, Min, Max, Avg, Count, StandardDeviation, Variance FeatureTable.QueryAsync - Service-FeatureTable QueryAsync executes on server - Can force local query against cached data - Geodatabase-FeatureTable QueryAsync executes locally

16 Query David Lednik

17 Implementing Analysis Visualization Geometric operations Querying data Geoprocessing Network analysis Analysis services

18 Geoprocessing A framework and tools for powerful GIS analysis Tools can be chained together to model entire workflows then automated Executes: - On device using LocalServer:- only Java,.NET, and Qt SDKs - ArcGIS Server:- publish your own services - ArcGIS Online:- services hosted by esri

19 Geoprocessing Framework supports two modes: - Sync lighter weight service type for fast operations which returns results directly - Async longer running jobs with ability monitor progress then fetch results Published from results/packages which validate the inputs, processing and outputs Access from the API via the Geoprocessor task When using LocalServer use the API to administer LocalGeoprocesingServices

20 Geoprocessing Important considerations for building geoprocessing models to run as a service Use layers for project data Use local data to ArcGIS Server / LocalServer Write intermediate data to memory Preprocess data used by your tasks Add attribute and spatial indexes Use synchronous rather than asynchronous where possible Avoid unneeded coordinate transformations Reduce data size

21 Geoprocessing David Lednik

22 Implementing Analysis Visualization Geometric operations Querying data Geoprocessing Network analysis Analysis services

23 Network Analysis Network-based spatial analysis Configurable transportation network data model Fine grained control over the calculations performed including: - Network costs e.g. time, distance, slope, traffic - Barriers (point, line, polygons) - Time windows - Vehicle capacities / capabilities Different implementation patterns depending on the type of analysis

24 Where Network Analysis happens ArcGIS Runtime In process LocalServer On Device ArcGIS Server & Online In the cloud Optimized Routes Y Y Y * Closest Facilities Y Y * Service Areas Y Y * Multi-Vehicle Routing Problem Y Y Location Allocation Y Y Origin Destination Matrices Y Y * Specific optimized Network Analysis service type and associated Task type in the API

25 Network Analysis Eric Bader

26 Implementing Analysis Visualization Geometric operations Querying data Network analysis Geoprocessing Analysis services

27 Analysis Services Services hosted by esri - Directions and routing Geocoding and place search Spatial Analysis: Elevation: - Require an ArcGIS Online or Portal subscription Run on a credit based model Determine service URLs by instantiating an ArcGISPortal and checking ArcGISPortalInfo.HelperServices

28 Hydrology Analysis Mike Branscomb

29 Implementing Analysis Visualization Geometric operations Querying data Network analysis Geoprocessing Analysis services

30 Roadmap GPU-based visual analysis New renderers - Dot density, scale dependant renderer LocalServer - ~20 New Tools - Analysis, Geocoding, Conversion, 3D Analyst, Spatial Analyst, Data Management - Including Lyr / Mxd support and Create Runtime Content, Package Map - Upgraded Python

31 Questions?

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