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In my custom angular web application, I had to pull the data from different ArcGIS server environments, say Dev ArcGIS server and Test ArcGIS server environment, some of my items are directly referred from ArcGIS server services and some of them are from Enterprise portal referring the WebMapId and PortalId from both environment (Dev, Test). Servers are in federated environment. To pull the data from different ArcGIS server environment, user must login in each environment. In addition, user must login to get inside the custom application and Enterprise AD Group was set to authenticate users on the custom web application and ArcGIS server environments. So, there will be 3 login attempts (1 –application itself, 2- Dev server/portal, 3- Test server/portal) to use the application, which doesn’t provide good user experience. To improve the better application workflow, I decided to reduce the number of logins required in the application and use AD Username and Password captured du...

Feature Layer:  A layer that references a set of feature data. Feature data represents geographic entities as points, lines, and polygons. Feature Class: In ArcGIS, a collection of geographic features with the same geometry type (such as point, line, or polygon), the same attributes, and the same spatial reference. Feature classes can be stored in geodatabases, shapefiles, coverages, or other data formats. Feature classes allow homogeneous features to be grouped into a single unit for data storage purposes. For example, highways, primary roads, and secondary roads can be grouped into a line feature class named "roads." In a geodatabase, feature classes can also store annotation and dimensions. Rasterized Feature Layer: A feature layer in ArcGlobe that exists as points, lines and polygons but is rendered as cell data. When layers are added to ArcGlobe, they may automatically be rendered in raster format to retain their cartographic symbology.

One of the cool things about being an Esri UC student assistant is that you’ll have the chance to see many different aspects of the event. Students help Esri staff with attendee registration, technical session monitoring, conference logistics, and the Esri Store. On your time off, you can attend sessions and social events, learn about the latest and greatest GIS technology in the Solutions Expo, and even explore beautiful San Diego. WHAT’S IN IT FOR YOU Students selected receive full registration to the conference, hotel accommodations, and a per diem allowance for meals. You only pay for your travel and personal expenses. Even more important—you’ll have the chance to see what’s ahead in GIS technology and expand your professional network, invaluable in getting your career off the ground.

Python Scripting for ArcGIS is a new text from Esri Press by Paul A. Zandbergen (2013). It isn’t the first Python book for the geospatial community or even focused on ArcGIS, but it is the first that has the Esri logo on it. Much like other recent books on Geo/Python we have seen, it focuses on integrating an introduction to Python with the industry specific materials. As Frank mentioned when he highlighted the book in a previous podcast, this allows users to gain exposure to Python, but it doesn’t fall back on the (in my opinion) bad habit of most programming texts of spending half of the book on the language and concepts before even getting to the application in the specific area. There is a time and place for that approach in Python specific books. When you add another software library to a book, then use it from the get go.

" Freshwater Ecoregions of the World, (FEOW)  provides a new global bio-geographic regionalization of the Earth's freshwater biodiversity.  Covering virtually all freshwater habitats on Earth, this first-ever ecoregion map, together with associated species data, is a useful tool for underpinning global and regional conservation planning efforts, particularly to identify outstanding and imperiled freshwater systems; for serving as a logical framework for large-scale conservation strategies; and for providing a global-scale knowledge base for increasing freshwater biogeographic literacy. " "Over a decade of work and contributions by more than 200 leading conservation scientists have produced a first-ever comprehensive map and database of the diversity of life in the world’s freshwater ecosystems. The map and associated fish data – a collaborative project between World Wildlife Fund and The Nature Conservancy."   For the fish lovers, the map i...

Creating a kmz image overlay  1. Make sure the dataset you are working with has a geographic coordinate system (unprojected) with WGS84 as the datum. If not, you will need to reproject your data. If the coordinate system of your datasets is defined you can change the projection “on-the-fly”. To reproject on-the-fly, go to Layers then Click Properties and specify geographic with WGS84 datum as the coordinate system. However, I recommend reprojecting the actual GIS datasets (shapefiles, grids, etc.) because project-on-the-fly is not always very precise, particularly when dealing with datum transformations. 2. Switch to the layout view. Select a layout that matches the dimensions of your map as closely as possible. To keep the file sizes of your images small, try to leave as little empty space around the edges as possible. Right-click on the layout and select Page and Print Setup to change the layout size. 3. Right-click on the map and select Properties. Go to the Size and Posit...

Today, I was working on Shapefiles from Australia and Nepal for my biodiversity research. I found DIVA GIS is useful for the scientist and students who can't afford ESRI's ArcGIS suite. DIVA-GIS is particularly useful for mapping and analyzing biodiversity data, such as the distribution of species, or other 'point-distributions'. It reads and write standard data formats such as ESRI shapefiles, so interoperability is not a problem. DIVA-GIS runs on Windows and (with minor effort) on Mac OSX.

Community Analyst includes demographic, health, economic, education, and business data variables to help users develop informed strategies for policy creation and critical resource allocation. Decisions such as matching health care clinics to areas with the greatest need or allocating infrastructure funding for maximum community impact can now be made and supported using customizable reports and maps more .