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Hi All Can you please log a support call and provide sample data? Thats the only way we can get to the bottom of the issues. Thanks
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06-15-2011
07:30 AM
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Hi You can use a Spatial ETL tool and append data to an existing feature class; use the writer mode INSERT (the default) but make sure you do not delete or truncate the target feature class. Regards
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06-14-2011
07:04 AM
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Hello Alelentz Unfortunately the underlying engine for Data Interoperability 10 is not unicode aware; this is fixed in the next release. You may want to try PostGIS dumper utility pgsql2shp and see if it correctly creates a codepage file (.cpg extension) and if so you can then import the shapefile into any geodatabase including unicode data. Regards
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06-14-2011
07:01 AM
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Hello Writing rasters is not supported with Landmark ZMAP format, this is true for the FME product too. In fact no raster writers are supported by Data Interoperability; if you have a particular workflow in mind please describe it and we'll see how to accomplish it. Regards
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05-26-2011
07:02 AM
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Hi Mike Your workflow is of interest; we have a few samples using Python's subprocess and multiprocessing modules to parallelize geoprocessing tasks, but nothing so far using Lidar. If you can share your data and processing requirements we may be able to figure out an approach for you. If you can do this, please email me at [email protected]. Regards
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05-23-2011
06:53 AM
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Hi Nathan Try AttributeFilter with the Import option to create separate output ports for each attribute value, set the ID value you want per port and connect all paths back together again. Regards
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05-16-2011
07:45 AM
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Charles, Joe Please see here: http://resources.arcgis.com/gallery/file/geocoding/details?entryID=1A290038-1422-2418-88FC-098400376B88 Regards
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05-10-2011
03:52 PM
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Hello Jason Yes, you can (for example) use the service's REST endpoint from within a Python script. Here is an example request from a tool I'm working on that batch geocodes recordset objects (what the GP service is expecting as an input parameter): response = urllib2.urlopen(serviceEndpoint + "/submitJob?&f=json","&Record_Set="+b).read() "b" is a RecordSet created earlier in the script. JSON responses are easy to handle with Python, here is how I catch my GP service result: response = urllib2.urlopen(u).read() fDict = json.loads(response)["value"]["features"] #Yields a dictionary of JSON encoded features "u" is a URL to each job result I loop through. The details of your sent and received objects will be specific to your GP service, but easily determined from the REST endpoint. Regards
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04-01-2011
07:07 AM
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ConCAVE hull Joe! 🙂 At some point we should make a system tool for this, the dental LIDAR community will be ecstatic (all one of them). Cheers
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03-28-2011
07:24 AM
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Hi Please also see this tool: http://resources.arcgis.com/gallery/file/geoprocessing/details?entryID=E51354B2-1422-2418-A0F6-8E4F8975BDAD The comment re. the tool getting some circles wrong appears to be a bug in the Buffer function, this is still being investigated. Regards
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03-25-2011
06:42 AM
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Hi Brad Can you supply sample data and/or a technical description of it? Regards
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03-23-2011
07:17 AM
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Hi Please download this technical paper: http://resources.arcgis.com/gallery/file/geocoding/details?entryID=51EE55F8-1422-2418-7F8B-FD82DE958878 Regards
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03-21-2011
07:11 AM
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Sally Please try the Data Interoperability extension to read your GPX data. You may obtain an evaluation license if you do not already have the extension. Regards
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03-18-2011
07:11 AM
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Hi Please try this tool: http://resources.arcgis.com/gallery/file/geoprocessing/details?entryID=E780BB87-1422-2418-7FD8-A1A0D8167AAF Regards
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03-02-2011
05:36 AM
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