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J., First of all, really hard to instruct you for the solid solution to your issue, in particular, without some knowledge about your LiDAR data; Secondly, advisable to do the following research before taking too much time on programming: take a look at ArcGIS Help 10.1 and accept some advices from there; browse your LiDAR data and its metadata, including data vendor, data deliverable standard & format ...
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05-26-2015
05:35 AM
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please link the real-time mapping app at Digital Attack Map
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05-26-2015
12:08 AM
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With R, pls refer to 'Regression on categorical variables' at http://www.r-bloggers.com/regression-on-categorical-variables/ and open the attachment, which might be meaningful to your practice...
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05-20-2015
05:20 AM
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On your question 'cokriging continuous variable - soil carbon with categorical variable - vegetation', you can try GoCAD (if available to you). +++++++++++++ Generally speaking, geostatistical analysis of categorical variables is by many referred to as the indicator geostatistics. One of those is Regression-kriging of indicators. With Regression-kriging of indicators, one approach to interpolate vegetation categorical variables is to first assign memberships to point observations and then to interpolate each membership separately. This approach was first elaborated by de Gruijter et al. (1997) and then applied by Bragato (2004) and Triantafilis et al. (2001). An alternative is to first map cheap, yet descriptive, diagnostic distances and then classify these per pixel in a GIS (Carr´e and Girard, 2002).
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05-20-2015
05:05 AM
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Beth, As you are open to new way, the advice is as follows, which use ordinary Kriging with regression: In the last decade, a number of ‘hybrid’ interpolation techniques, which combine kriging and use of auxiliary information, has been developed and tested. Here, two main paths can be recognised: co-kriging and kriging combined with regression (McBratney et al., 2000). The latter path was shown to be more attractive for combination of kriging and CLORPT techniques, among others because fewer model parameters need to be estimated (Knotters et al., 1995). In many cases, kriging combined with regression has proven to be superior to the plain geostatistical techniques yielding more detailed results and higher accuracy of prediction. Hudson and Wackernagel (1994) showed that kriging with use of elevation data improves mapping of temperature. Knotters et al. (1995) compared ordinary kriging with co-kriging and regression-kriging for soil mapping purposes, favouring the latter. Bourennane et al., 1996 and Bourennane et al., 2000 showed that prediction of horizon thickness is more accurate with the use of a slope map as external drift. In several other studies Odeh et al., 1994, Odeh et al., 1995, Goovaerts, 1999b and Bishop and McBratney, 2001, combination of kriging and correlation with auxiliary data outperformed ordinary kriging, co-kriging and plain regression. Although the hybrid interpolation techniques are becoming increasingly popular, there is still a need for a generic methodology that combines theory of generalized linear models (GLM) with universal kriging. Gotway and Stroup (1997) and Opsomer et al. (1999) give good starting points. In mining and reservoir modeling studies, very common to apply ... pls keep posting your findings and share your experience
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05-20-2015
04:33 AM
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You are right. CE does not have good built-in network analysis functions (unlike Network Analyst in ArcGIS). As you know, CE is mainly used for building 3D city models from many sources, including GIS and DEM. So, if you want to find out the shortest path between two points, advisable to use ArcGIS with Network Analyst or ArcGIS Online with Network Analyst. ArcGIS Network Analyst | Overview ArcGIS Online Directions and Routing Services
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05-19-2015
02:43 AM
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J., First of all, please refer to Is your data clean? and see if your data is clean. Secondly, on your intention 'These polygons typically contain many vertices and I want to optimize this layer to draw quickly', pls use the GP tools 'Generalization toolset', An overview of the Generalization toolset—Help | ArcGIS for Desktop and An overview of the Generalization toolset—Help | ArcGIS for Desktop Thirdly, when your vector data moved in GDB (ArcSDE, FGDB), you have many space to optimize there, at least, 'spatial indexing' must be done before serving for dynamic uses.
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05-18-2015
10:00 PM
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Thx, Melita, ... The funky WGS 1984 "sphere" conversion is done in the projection algorithm, rather than via a geographic/datum transformation. ... It looks that some offsets exist, in the North part of the Middle East Peninsula, if no transformation applied. Your info gives some hints, which may trigger me to try something else. +++++++++++++ For EPSG 3785, one of the reasons that our customers accept 'was' as follows: EPSG:3785 Popular Visualisation CRS / Mercator WGS84 Bounds: -180.0000, -85.0000, 180.0000, 85.0000 Projected Bounds: -20037508.3428, -19971868.8804, 20037508.3428, 19971868.8804 Scope: Certain Web mapping and visualisation applications. Last Revised: March 14, 2008 Area: World - 85°S to 85°N
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05-18-2015
09:21 PM
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J., If using CE, please refer to the thread at Extracting building height and setting color from shapefile data
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05-18-2015
04:38 AM
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N., Personally, developers can do something (below) to meet the customer's requirements like 'Merge features', in which way it will rely on your data in ArcGIS Online: 1. Use 'Merge Layers', if features from two layers. Refer to Perform analysis—ArcGIS Online Help | ArcGIS 2. Manually merge the features inside one layer at Edit features—ArcGIS Online Help | ArcGIS 3. Custom the widget to automatically merge features by Web AppBuilder for ArcGIS (Developer Edition) | ArcGIS for Developers
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05-18-2015
03:35 AM
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Hani, Have you found the right transformation for your data (with GCS_Palestine_1923 WKID: 4281 Authority: EPSG) to be converted into WGS 1984 Web Mercator auxiliary sphere (WGS_1984_Web_Mercator_Auxiliary_Sphere WKID: 3857 Authority: EPSG)? If not yet, please try 'Palestine_1923_To_WGS_1984_1' in ArcGIS
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05-17-2015
09:29 PM
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Team, You may already read the articles on WGS 84 Web Mercator / WGS84 Web Mercator (Auxiliary Sphere) and WGS 84 (ellipsoid). For example, The Google Maps / Bing Maps Spherical Mercator Projection | Alastair Aitchison http://blogs.esri.com/esri/arcgis/2010/03/05/measuring-distances-and-areas-when-your-map-uses-the-mercator-projection/ In practice, how do you deal with the datum/projection transformation between WGS 84 Web Mercator / WGS84 Web Sphere Mercator and WGS 84 (ellipsoid). Also, how to transfer major local datum /projection like WKID 102204 (Ain_el_Abd_1970_Aramco_Lambert_2 ) into WGS 84 Web Mercator / WGS84 Web Sphere Mercator 'properly'? Any advice?
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05-17-2015
12:26 AM
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As you know, SAP has lots of functions/ products (List of SAP products - Wikipedia, the free encyclopedia and http://www.sap.com/canada/pc/index.html ). Certainly, how to integrate ESRI mapping capabilities with SAP products varies, which fully relies on their business purposes and what kind of applications (web, mobile...) ... On your description/requirements, please refer to below, which shows your options to integrate ESRI maps /analysis with SAP BusinessObjects in both client-side and server-side... https://decisionfirst.files.wordpress.com/2014/10/exploring-gis-integration-options-for-sap-businessobjects.pdf Also, Esri Maps for SAP BusinessObjects | ArcGIS
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05-10-2015
10:00 PM
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If willing to generate 'general-single field locator', easily to try the GP tool 'Standardize Addresses'...
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05-07-2015
05:00 AM
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For point feature class to geocode, just try the GP tool 'Geocode addresses' as follows: Assumed that you are using 10.1 or higher (Address Locators contain MGRS and ArcGIS Online, at least). 1.Click the Tools menu in ArcMap, point to Geocoding, then click Geocoding Addresses. 2.Click the address locator you want to use to geocode the table of addresses and click OK. This will close the dialog box and open the Geocode Addresses dialog box. If the address locator you want to use does not appear in the list, click Add to browse for the address locator. 3.Click the dropdown arrow, then click the table you want to geocode. If the table does not appear in the dropdown list, click the Browse button to browse for the table. 4.Choose the column name from each dropdown list that contains the specified address information. The names of the required address attributes are shown in bold type. 5.Click the Browse button and navigate to the location where you want to create the geocoded feature class. 6.Click Save. 7.Choose the Create dynamic feature class related to table option if desired. 8.Click Advanced Geometry Options to specify the geometry settings for the geocoded feature class. 9.Specify the geometry settings for the geocoded feature class and click OK. 10.Click Geocoding Options and specify the geocoding options that will be used to geocode the table of addresses, then click OK. 11.Click OK on the Geocode Addresses dialog box to geocode the table. 12.Click Done.
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05-07-2015
04:07 AM
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