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Thanks Larry. Erin Peterson, coauthor of the SSN package, at Queensland Univ of Technology, was instrumental in helping us create this demo and helping with the corresponding GP tools that you see calling R. Unfortunately these tools were never completed to the extent that they were ready to share. If you want to know more about the R functionality behind it, the SSN doc is pretty comprehensive and there are good supporting tools to help build the network attributes. If you're just looking for examples of GP tools calling R, there are some example on GitHub, and we have some new training materials in the works. We and are also working with some users on additional community toolbox contributions and looking for more collaborators.
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10-28-2016
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Stacy - raster data is not currently supported in the the R-ArcGIS Bridge. This is functionality we are adding so if you have particular requirements for raster support please let us know. Steve
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10-20-2016
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For contributors and followers of this thread - there is now a GeoNet group "R-ArcGIS" dedicated to people working with both R and ArcGIS. This will provide a centralized place for sharing of ideas and instructional materials. We will continue to use the GitHub site for distribution of the R-ArcGIS bridge installation, and access point for all related source code.
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06-24-2016
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R is a powerful language for solving data science problems. By building cutting edge statistical models with R, and using ArcGIS for visualization and analysis, you can have the best of both worlds. This session will give you an overview of the R language, how you can use it to solve data science problems, and describe to use it with ArcGIS. Come dive into data science. Presented DevSummit 2016 by Mark Janikas and Shaun Walbridge and Marjean Pobuda This is the handout to accompany the video of the same name also available on GeoNet.
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06-23-2016
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This video from the 2015 Users Conference provides a quick illustration of work to integrate the R project for statistical computing and ArcGIS. This demonstration uses the SSN package for modeling stream network statistics with geoprocessing tools in ArcMap. This connection is enabled by the open source R-ArcGIS bridge. 3 min.
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06-23-2016
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This session outlines integration techniques that allow you to call open source statistical packages within the ArcGIS environment. The primary examples take advantage of powerful Python modules as well as the open source R - ArcGIS bridge. 1 hour Presented at DevSummit 2016 by Mark Janikas and Carlos Osorio-Murillo
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06-23-2016
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R is a powerful language for solving data science problems. By building cutting edge statistical models with R, and using ArcGIS for visualization and analysis, you can have the best of both worlds. This session will give you an overview of the R language, how you can use it to solve data science problems, and describe to use it with ArcGIS. Come dive into data science. Presented at DevSummit 2016 by Mark Janikas, Shaun Walbridge, and Marjean Pobuda 1 hour
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06-23-2016
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Jessica - if what you want is simply the standard deviation of a DEM within a neighborhood (radius) you can simply use the Focal Statistics tool with the default circular neighborhood and radius of the distance you want, and the STD option. Or if you want a terrain ruggedness index tool that already exists, there is a free toolbox for Geomorphometry and Gradient Metrics created by Jeff Evans which includes a Roughness tool that is based upon the Riley et al 1999 Terrain Ruggedness Index approach. http://evansmurphy.wix.com/evansspatial#!arcgis-gradient-metrics-toolbox/crro Steve
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09-24-2015
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There are numerous hex sample tools out there, Tim's mentioned above is probably the most mature and curated one. There is not an official Esri hex tool. At the heart of this is a question of wanting a movement model that uses more than 4 directions, and just want to make sure everyone is aware that the Cost Distance tool is an 8 direction movement model. It uses the 4 faces of the raster, as well as the 4 diagonals, and appropriately weights the diagonals for their increased distance. http://resources.arcgis.com/en/help/main/10.2/index.html#/How_the_cost_distance_tools_work/009z00000025000000/ Steve
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06-04-2015
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Kirk - I see this is from a few weeks ago and not sure if you noticed last week but all those analysis tools are now easily accessible in WebApp Builder. Unfortunately this won't help you on a local portal behind your firewall yet, we are hoping to have that available later this year. If your real question is "what GP calls are happening behind which buttons in that UI and how can I recreate that..." shoot me an email and I'll see how we can help you out. Steve
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03-11-2015
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Yes, for the US this project is based upon NHDPlus, which is the authoritative national source for the US, and saved us many man-years of effort. Huge thanks to the NHDPlus project team. And for the international services big thanks to Bernhard Lehner and World Wildlife Fund for their work to build HydroSHEDS. We are accepting contributions through the Community Maps program for higher resolution authoritative hydrologic content for additional areas.
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10-02-2014
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Cyndi - if the hydro services you are referring to are the ArcGIS Online hydrology analysis services that were released last week, these services are built on the same Arc Hydro and Spatial Analyst functionality you are already using in ArcGIS, just with some additional preprocessing of the data to make them fast. The accuracy of the services is determined by the source data. The services are built on best-available authoritative content, within the US that is the NHDPlus version 2, and internationally is HydroSHEDS. We will increase the coverage at finer resolutions through contributions to the Community Maps program, which is now set up for people to contribute hydrologic content. If NHDPlus or HydroSHEDS was going to be your source data, I suggest you just use the service, it will save you a lot of data processing time. Note that if you want to use these in Desktop 10.2.1 or 10.2.2 there is a patch available to make these analysis services show up as tools in your ArcCatalog window at the bottom under Ready to Use services. All you have to do is login to your ArcGIS Online account and run it like any other tool, you do not need to do the "Add ArcGIS Server" step to create a server connection. Steve
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10-01-2014
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Good timing Paul, it just got posted last night. Here's the link to the blog post about standing up the profile service against your own data: http://blogs.esri.com/esri/arcgis/2014/08/26/setting-up-your-own-profile-service/ And here's the link to the toolbox, scripts, and doc: http://esriurl.com/OnPremiseProfileService This includes everything you need to configure the profile analysis script against your own data, and to configure the Javascript profile sample to consume this. If people have questions or comments on these please direct them to the comments pages of these samples so they go straight to the developers and so others can see the Q&A. Steve
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08-27-2014
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Barbara - we are moving away from the SOE approach to using a Geoprocessing Service for this which will make it easier for people to configure to their own data. The profile app template http://www.arcgis.com/apps/Elevations/index.html has been updated to use this ArcGIS Online hosted service https://developers.arcgis.com/rest/elevation/api-reference/profilesync.htm This is a free service requiring no authentication, it includes 1km GEBCO, 90m SRTM, 30m for US, Canada, and Mexico, and 10m for the continental US. Many people like you want to also incorporate their own data, and we are putting the final edits on the service script samples and the documentation on how to configure it against your own data. We hope to have these posted within the next week and I will reply to this thread and include the link. Additional information about the profile service and other elevation analysis services available in ArcGIS Online are available in this seminar video http://training.esri.com/gateway/index.cfm?fa=catalog.webCourseDetail&courseID=2795 Steve
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08-13-2014
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First assumption is that your "continuous data set" TIFF represents sampling of a continuous variable, such as elevation, temperature, distance to roads, etc. To convert your "continuous data set" TIFF to a vector format like a shapefile, you can convert it to points using RasterToPoint, to lines using the Contour tool, or to polygons. However, to convert it to polygons you also have to group some of the values together, otherwise you will end up with millions of single cell polygons which won't be very useful. The simplest way to do this is to create contour polygons which can be done using the Create Filled Contours sample tool. If your TIFF is actually something else like a multispectral image, you would use the multivariate statistics tools to first classify the cells into meaningful groups before converting them to features using Polygons To Raster.
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05-30-2013
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