[Editor's note: The 9.3.1 release of ArcGIS adds the ability to embed GIS data in layer packages for easy sharing. This blog post from ESRI steps thru how to create and leverage layer packages. Natural Earth will soon be available as a layer package!]
Republished from ESRI ArcExplorer blog.
With the release of ArcGIS Desktop 9.3.1 the ability to create layer packages was introduced. Layer packages encapsulate the data, cartography, and other properties of the layer as it’s authored in ArcMap (or ArcGlobe) into one easily shareable package.
Layer packages can be shared with other ArcGIS Desktop users, shared on ArcGIS Online (public beta soon), and are also supported in ArcGIS Explorer 900 along with layer files. What’s significant for Explorer users is that now the cartographic capabilities of ArcGIS Desktop can be seen using Explorer. In the past only simple rendering options were available in Explorer for local data sources, now these are expanded to include ArcGIS Desktop cartography via layer files and layer packages.
ArcGIS 9.3.1 was released not long ago, and ArcGIS Explorer 900 is currently in Beta. But since you may want to begin to create layer packages now for use in Explorer 900 when it becomes available we thought we’d cover a few basic pointers on how to create good layer packages.
We began by downloading some data and an ArcMap document (.mxd file) from the USGS. The data we downloaded was from an open file report with data from the Engineering aspects of karst map.
We downloaded the data, started ArcMap, opened the provided map document, and this is where we started. Our goal for this post was to take the karst_polys_polygon layer in the map and share it as a layer package with ArcGIS Explorer 900 users.
You can see the data (from a personal geodatabase) is already symbolized so we have a good start. But there’s a few things we want to do during the process of authoring the layer package that will ensure those we share the layer package with have the best possible experience and that we present the data in the best possible way. We think authoring is a good way to think about this process, and we’ll step you through the basics of what to consider.