Location provides a common context through which we can compare different domains of data in order to understand complex relationships. Government agencies gather this data as part of their mission and daily operations – but no one cares as much … Continue reading
Esri’s LAS Optimizer has been updated to include support for parallel decompression. The initial version supported parallel processing when going from LAS to Optimized LAS, but the other direction, going back to LAS, was single threaded. It’s now parallel in both directions. This significantly decreases the time it takes to decompress the files and is worth the update.
At ArcGIS 10.2 there is a shapefile issue which results in a crash. This is caused by a buffer overrun that is most likely to occur when there are large numbers of fields in the dBase file.
The patch to fix this issue is available now for ArcGIS 10.2 for Desktop, Engine and Server users.
Maintaining data to meet standards of quality is a challenging investment of both time and resources. This is especially true for those organizations with evolving business requirements because the definition of what constitutes “good quality” data keeps changing. As these … Continue reading
We are excited to announce the availability of our first ArcGIS Data Reviewer web course on Esri’s Training site. The Data QC with ArcGIS: Automating Validation course teaches automated workflows to ensure data adheres to your organization’s quality standards. You will learn … Continue reading
We are pleased to announce that the ST_Geometry aggregate functions are now available for Hive, in the Spatial Framework for Hadoop. The aggregate functions can be used to perform a convex-hull, intersection, or union operation on geometries from multiple records of a dataset.
If you create a mosaic dataset in a file geodatabase on a Windows machine, and then copy it over to a Linux machine, your paths within the mosaic dataset will be incorrect. To publish the Windows mosaic dataset as an … Continue reading
An interesting task in highway management is to study potential impact of driver carpooling, based on an analysis of automatically collected automobile GPS position data. To identify potential enhancements to carpool participation, we set out to study places that have the highest numbers of trips with similar origin and destination locations. The source data for this experiment consists of nearly 40 million vehicle position records assembled from a single day of GPS-collected vehicle positions. The position data consists of longitude and latitude along with date, time, and speed. We used the Hadoop MapReduce framework for distributed parallel computation, considering its capability for analyzing larger data sets. Continue reading
The 2013 Esri International User Conference starts next week down at the San Diego Convention Center. There will be 15,000 attendees eager to learn and to see our path towards the future of GIS. Hopefully you’re one of them!
The Geodatabase Team will be down there giving technical sessions and demo theater presentations. We’ll be available to answer your questions and discuss what projects you’re working on too, so come visit us in the convention’s showcase area.