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Not a question, just share personal experience of the latest release ArcGIS Pro 1.4 with all. Just install and evaluate ArcGIS Pro 1.4 with some long-waiting cases, which looks excellent … ArcGIS Pro 1.4 really is a breakthrough release, from operational perspectives. Thanks for great efforts, ESRI. +++++++++++++++++++++++++++++++++++ With many advances in IT for a decade, many GIS users have been painfully waiting for ArcGIS solutions to effectively tackle the following operational challenges, particularly last 5 years: CAD 2D data georeferencing, 3D GIS creating and editing (i.e., multipatch from CityEngine), CAD and COLLADA 3D models georefrencing, Enable developers to conveniently install new Python packages (saying, scikit-image, scikit-learn, openCV), and easily configure for popular and familiar Python Development IDEs (i.e., PTVS, Spyder), GPU accelerated geoprocessing tools in ArcGIS Pro and ArcGIS (i.e., raster image processing like caching, classified raster imagery generalization and associated vector conversion & clean-up), R integrating and scaling seamlessly with ArcGIS Pro and ArcGIS (i.e., MRS), which is currently thorough “R - ArcGIS Bridge” for MRO (https://r-arcgis.github.io/), and Support of major deep machine learning frameworks with GPU computing in ArcGIS Pro and ArcGIS, especially, in Python and R (i.e., DIGITS) … With ArcGIS Pro 1.4, we can eventually do some right now: CAD georeferencing http://pro.arcgis.com/en/pro-app/help/data/cad/georeferencing-cad-data.htm Multipatch creating and editing http://pro.arcgis.com/en/pro-app/help/editing/create-multipatch-features.htm andhttp://pro.arcgis.com/en/pro-app/help/editing/modify-a-multipatch-feature.htm Via Python Package Manager, easily install and configure new Python packages for Python Development IDEs http://pro.arcgis.com/en/pro-app/arcpy/get-started/what-is-conda.htm
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01-22-2017
12:17 AM
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Thanks a lot for you guys efforts. All are moving on right track, which will definitely make our operations more productive, even more innovative ... Yes, as you pointed out, we can directly use 'arcgisbinding' with MRO in RStudio. For unknown reasons, however, we couldn't 'arcgisbinding' via R or MRO within Microsoft Visual Studio (R Tools) 2015. The same issue exists for Anaconda (R Tools). In addition, regarding Conda Python to access/ import ArcPy (from ArcGIS Pro 1.3) in Python IDEs, one (Visual Studio 2015) does work, but other (Anaconda) does not, in our case. https://arcpy.wordpress.com/2016/10/21/conda-and-arcgis-pro/ Looking forward to seamless integration of ArcPy (ArcGIS Pro, ArcGIS) within major IDEs (Python and R - MRO & MRS), especially in Visual Studio and Anaconda, which will fully support Python and R (MRO, MRS) together. Regards,
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11-23-2016
09:31 PM
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Thanks for your reply and answer, Steve, Yes, looking for more practical examples on this aspect (GP tools from base R codes)... In fact, we have been learning and using R statistics within ArcGIS for geospatial data analytics, but more interested in the conversion of ArcGIS GP tools from R statistics at the current stage. .... For data analytics (incl. geo analytics), considering heavily using R (more than others like Python, Java) over Hadoop and SAP Hana in our practice, just consult some of relevant questions, Steve, In addition to CRAN R (base), any plan for R-ArcGIS Bridge to directly support Microsoft R Open, even standalone Microsoft R Server for Hadoop (Apache Spark), in the middle or long term? For data analytics within ArcGIS over hadoop (Spark, MapReduce), any plan for both R (R-ArcGIS) and Java/ Python (GIS for Hadoop) to closely coordinate on this aspect, or will both do in parallel? Will ArcGIS 10.5 support the Enterprise GDB in SAP Hana? If not, what about 10.6 or later? Regards, ++++++++++++++++++++++++++++ References for clarification, if any: R-ArcGIS Bridge: https://r-arcgis.github.io/ CRAN R (base): http://cran.cnr.berkeley.edu/bin/windows/base/ Revolution R Open (Microsoft R Open): https://mran.revolutionanalytics.com/download/mro-for-mrs/ and https://mran.revolutionanalytics.com/download/ Microsoft R Server with Apache Spark: http://blog.revolutionanalytics.com/2016/06/apache-spark-integrated-with-mrs-for-hadoop.html
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10-29-2016
09:19 PM
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Thanks for nice demo on R integration with ArcGIS, Mark & Carlos, Can you advise where your R source and associated geoprocessing tool in the R portion of the video are?
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10-27-2016
12:30 AM
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Thanks for nice demo, Steve, I am wondering where we can get ArcGIS geoprocessing tools of SSN package in your video.
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10-26-2016
11:54 PM
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Mody, thanks for your assistance, With ZOrder, it is functional, which fully meets our need on high efficiency and better quality (below) while updating cache. Left: from old MD; Right: from new MD, which are smoothly merged and seamlessly displayed between 1:30000 -1:1000 by order
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10-18-2016
12:24 AM
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One more is here for discussion (ArcGIS 10.4): When several MD to directly be added as "dataset" (not "table") into a new MD, users mostly would like to customize the "visibility Order" of those MD in the new MD. However, MinPS, MaxPS, LowPS, HighPS couldn't effectively manage. For example, the new MD "E" contains MD "A", MD "B", and MD "C", which may have similar resolution and would like to be visible at 1:25000 - 1:1000. Considering those A, B and C acquired and processed at different years (with different coverage), users would like to overlay one by one in order in MD "E", so that we can "seamlessly" update the existing cache with this new MD "E". So far, it looks to me that it is hard to manage. In attachment, the ObjectID =22 (saying, which is referred to MD "D") would like be overlaid directly over the top, but tried in many ways and failed ... Any comment? +++++++++++++ Currently, in order to update cache for this type of circumstances, users have to frequently and carefully update the previous boundary or footprints of MDs (overlaid areas) with the newer MD boundary (shrunk) firstly to guarantee all new MD visibility in new MD "E"
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10-16-2016
09:40 PM
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Hello, Python ace coders, Have you experienced 'directly' detecting the outliers from 'time-serial multivariate' data (saying, 3-5 variables) within ArcGIS 10.4 /10.3.1? Or, do you have any effective approach to 'seamlessly' make use of the package ‘scikit-learn’ in ArcGIS for the above purpose? Any advice?
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02-11-2016
11:05 AM
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Hello, Python coders: Your hands-on assistance on the following Python third-party packages' upgrade would be appreciated: Description: ArcGIS 10.3 users would like to use the package "Site.py" (or other similar tool) and then to install/ upgrade the third-party Python package "scikit-learn" with "scipy" into the following Windows third-party Python path (i.e., C:\Python27\ArcGIS10.3\Lib\site-packages), so that data engineers can use ArcGIS to directly call the functions from "scikit-learn" and "scipy" inside ArcGIS 10.3 (Python 2.7.8), without troubles. Note: When ArcGIS 10.3 was installed into Windows 7, Python 2.7.8 was also installed into: C:\Python27\ArcGIS10.3 ; With Python 2.7.8, the two third-party packages "NumPy" and "Matplotlib" also available under the folder: C:\Python27\ArcGIS10.3\Lib\site-packages ; The 'built' Windows Python package "scikit-learn" with "scipy" locates at the folder: D:\Python-Packages\ ; Question: What is the python "script" more effectively to do this upgrade task? It would be better to install /upgrade the third-party Python packages,without Admin privilege (if required, please indicated) .
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01-31-2016
05:50 AM
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As a reference, in practice, four main languages (R, SAS, Python, SQL) for data analytics, data mining, and data science, were "generally" surveyed in 2014 (even though some are using EXCEL, MatLab or SPSS), where data include spatial data (vector, raster), in addition to numerical and text.
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01-31-2016
05:34 AM
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After quick browsing it, it looks same as what I recommend here . Good move, ESRI! Personally, R Bridge with ArcGIS is a good start for data engineers (with Python coding skill) to 'directly' call rich open-source R statistics packages inside ArcGIS. In fact, R (and SAS) is an advanced (standard, powerful) statistics tool for data engineers for over 20 years, in particular, in governments and larger business organizations, because of rich algorithms and great visualization capabilities offering huge potentials on data analytics, including spatial data (vector and raster). Even though statistics algorithms / libraries in Python have been gaining attractions (incl. ESRI ArcGIS), majority of data engineers still prefer R (SAS or both) against Python, in practice, because of many and many reasons (you can google-it) ...
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01-31-2016
01:21 AM
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With 10.3.1 /Pro 1.1, we can eventually integrate open-source R statistics with ArcGIS (Python scripting) for wide data analytics, in particular, combined with R-ArcGIS Bridge (R-ArcGIS/r-bridge-install · GitHub ). If high-performance RRE (Revolution R Enterprise) is used, 64-bit ArcGIS /Pro can easily be extended to make use of the R distributed computing infrastructure. If any experience with this aspect of practice, please share
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01-30-2016
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To fully recognize WV-3 metadata, you sure need 10.3.1. However, if you only want to correctly load/add WV-3 bundle with the sensor model that WV-3 uses into MD, you can use GeoEye RPC model in 10.3 or earlier. The reason is that WV-3 sensor uses the same RPC model as GeoEye RPC...
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08-23-2015
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