I'm performing some basic spatial analyses on a large database of traffic injuries in California between 2003 - 2011. Because the dataset is large (nearly 1 GB of points), I'd like to first cut it ...
I'm completely new to GIS and unsure what I need to solve this problem: In the image above turquoise is actually land. Sea is white. I tried using the NASA Distance to the Nearest Coast data dump ...
What is the best approach to create a create a very large shapefile (close to the max of 2GB) using python? Best approach means: robust and fast. Above all fast.
I'm going to build a web application, which will render around ten maps using GeoServer. I will be also changing the attribute data in the application for some layers. So, what is the recommended ...
I have a polygon shapefile that has a 100MB .dbf and 500MB .shp file component. The reason it is so large is it is a landbase classification for a whole district. Everytime I am viewing the file in ...
We are using shapefiles with a large attached database to it (162 Mb for 133000 features) Opening this shape file on a remote server takes about 5 minutes whereas DivaGIS takes 7 seconds for the same ...
My organization is working on an application running on ArcGIS Engine. Previous versions of the application used primarily Shapefiles for displaying roads, parcels, buildings, etc. Since I was ...
I am writing a arc engine application that can take a shapefile, and merge a set of polygons together. Here is the code that I am using to merge the polygons: private static void ...