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In mining industry, many design engineers are using Surpac, which offers effective workflow to do so, including creating pits, dumps and other surface design features and enable the user to analyse and compare the results very easily. http://www.gemcomsoftware.com/browse/mine-type/open-pit-operations
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10-14-2014
04:28 AM
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I see. Maybe, it is not bad idea to try differently as below. You can extract all vertices’ values from the base raster, which are intersected with the lower edge of the slope polygon via the gp at http://resources.arcgis.com/en/help/main/10.2/index.html#//00q900000016000000 Once the vertices’ z values obtained from the base surface, you can edit the slope polygon. Even not horizontal (a sloping and irregular surface), it can be doneeffectively. Agreed with you, it is challenging, at least, not efficient, especially, for complex and operational mines or constructions, when using 3DAnalyst in ArcGIS to do ‘open pit design’. Maybe, you already have the book (attachment) at your hand…
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10-13-2014
04:29 AM
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ryan, if understanding your issue properly, please try the following two options, when running the 'Kernal Density': 1. adjust 'Output cell size' to the smaller (saying, the half) from the default); and / or 2. reduce 'Search radius' to the half from the default
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10-13-2014
03:57 AM
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mike, your issue is solved aready? If working with 3D Analyst in ArcGIS for 3D polygon creation (footprint of pit design), please refer to ArcGIS Help (10.2, 10.2.1, and 10.2.2) . You can edit 2D polygon with attaributes (Z), and then convert into 3D feature class (when needed). When editing the vertices with Z values (at least, 4), please refer to the attachment figure
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10-13-2014
03:37 AM
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On GIS hydro services derived from national/ state-wide hydro data as metadata, it is good idea also to put the interpolation algorithm (Krigging, IDW, etc.) with accuracy evaluation as a part of metadata in ArcGIS Online … In fact, when providing related services to customers, they demand those as a part of operational requirements… Besides, for ‘regional & local’ hydro survey/ analysis/ services with higher accuracy, 3D geological model is highly required (‘must-do’ for local hydro services) to understand soils/ rocks, rock aquifer, drainage system, etc. In other word, the right operational/ research approach decides the service accuracy as well. Pls refer to http://rd.springer.com/article/10.1007/s10040-004-0365-x#
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10-01-2014
10:12 PM
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Worth to mention, with same hydro data, the results' or services' accuracy is highly related to the methods that enineers/ hydrologists are using, in particular, doing flooding risk analysis, because many overlaying analysis is highly required to use human logic (Fuzzy Logic)...
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09-30-2014
11:12 PM
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cyndi, The experience would be shared with you, not to directly answer your question (because of ‘very wide’ topic that you raised): With ArcGIS Online, there are some GIS Hydro services from national-wide US available to the public, such as ‘wetlands’, ‘surface water’ and ‘NHDPlusV2’… It look to me that those are produced by different authorities from different data sources. Generally speaking, it is very hard to evaluate from those services powered by ESRI. If really want to get deep insight into individual accuracy onto…, better to contact the responsible authority to retrieve the metadata, including accuracy evaluation report / white paper… Generally, national-wide hydro mapping services are derived from relatedly lower accurate hydro data. In fact, most local hydro analysis tools /applications are used to assist engineers to ‘more accurately’ model, analyze and simulate in 3D GIS or 3D CAD environments for water management and flooding risk management, including rivers / lakes/ reservoirs and urban areas. Certainly, hydro data with high accuracy are required for this type of hydro mapping and analysis.
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09-30-2014
10:54 PM
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Thanks a lot, dear all, Greeting, Filip, pls refer to the blog at http://isbullsh.it/2012/06/Rest-api-in-python/ , which indicates that urllib2 is not right way to go... Hi, Alex, It looks that the links like https://github.com/esri/arcrest not working to me. Not sure why?
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09-27-2014
10:17 PM
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Tina, If your CAD data are among AutoCAD formats, which will be converted into geodatabase (CMDM), the following tool/ product may help reach the goal effectively… 1. Enable /purchase Data Interoperability Tools in ArcGIS. Please see the details at http://resources.arcgis.com/en/help/main/10.2/index.html#/A_quick_tour_of_the_ArcGIS_Data_Interoperability_extension_for_Desktop/004m00000003000000/ Of course, if CAD data are huge, outsourcing this conversion (contract to a professional Data Conversion Service Company) may be cost-effective … Besides, on the requirements of city and community management (utility, water), you may study additional data model (ESRI Arc Hydo) with Aquaveo for groundwater… http://resources.arcgis.com/en/communities/hydro/01vn00000011000000.htm
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09-17-2014
09:46 PM
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Tina, Sounds good idea with CMDM template, if ArcGIS is only an option to the city GIS system. By the way, what kind of formats are major CAD data? Before taking action, not bad idea to plan if those CAD data are fully functional with this CDMD template, even after converting into Geodatabase. Sometimes, you may be required to geo-reference those CAD data first... In fact, if most CAD data are in AutoCAD, please study and check if AutoCAD Civil Infrastructure GIS data models meet your needs...http://www.autodesk.com/industry/civil-infrastructure If most CAD data are in Microstation, please check if Bentley Utilities GIS Designer meet the requirements...http://www.bentley.com/en-US/Products/Bentley+Utilities+Designer/
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09-17-2014
03:31 AM
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Dan, Yes, MD with overviews should be used to generate caches. By the way, worth to share two points: 1. (on your reply: generating 1TB caches from only 300 GB), the figure estimation from GP tools for the size of 'to-be-generated' caches is not right. If that is true, better to check the schema you are using.. 2. please genetate caches in desktop (not in server-side). In other words, GP tools for caches can be found under 'data management tools'. In this way, you can avoid network tranffic and improve the performance for caching...
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09-15-2014
09:24 PM
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Generally, it is always challenging to seamlessly integrate CAD into GIS, because the gaps /precisions between CAD and GIS still exist, in particular, when working on 3D integration from Microstation (in that 3D CAD models are usually huge, very detailed and complicated to 3D GIS…) However, on aspects of 2D CAD integration into ArcGIS, it can mostly be handled without big difficulty. For example, ESRI provides some solutions to georeference/ geo-link CAD drawings through using auxiliary file with GCPs in ArcGIS. Just keep in mind, those CAD drawing are not really geo-corrected ‘permanently’ ... Please refer to the Doc at http://resources.arcgis.com/en/help/main/10.2/#/About_georeferencing_CAD_datasets/001000000010000000/
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09-15-2014
12:32 AM
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Thanks, Filip, nice idea. Do you think if it would be good to integrate / build a Python module, which also will go through all GIS services and collect service statistics from ArcGIS Server REST 'logs' and export into Excel or SCV file? Maybe, you have already this module. If so, please share... ++++++++++++++ The example is available at ArcGIS Help (10.2, 10.2.1, and 10.2.2)
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09-14-2014
10:54 PM
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nice, jamal, how is the performance after increasing the number, compared to the earlier? ++++++++++++++ For that incident that we were facing, we guess that the operational mistake caused it, because we serve mosaic dataset from raster images with ‘pre-created’ caches as image service, where cache tiles were done under desktop, which are required to import after image service published… The discussion thread is available at cache raster tiles in server vs. desktop
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09-14-2014
09:49 PM
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