The following titles were recently added or updated.
Thought we would mention a few new spatial datasets in our collection. We now have updated Transportation layers for New York city including routes and lines for subways, buses, freight and commuter rail as well as updated truck routes and zones.
Also, we have added New York city police precincts and crime data for 2001, 2005 and 2006.
From ESRI we now have new raster datasets in worldwide coverage representing elevation, shaded relief and Landsat imagery. These datasets can be accessed in the DSSC facilities via the ArcSDE server.
We are in the process of implementing an ArcSDE installation for the distribution of many of our larger datasets. The server is now online and we have several layers available, including Orthoimagery, Street files, World-wide DEMs and other raster datasets. Right now access is only available from the DSSC and EDS labs. To access the layers you need to use an ESRI .lyr file, we have created one for each dataset and they can be downloaded from the CU Spatial Data Catalog. These datasets can be viewed quickly and you can make extractions limited to your area of interest. We will be adding more layers in the very near future.
We now have the latest version of the New York City Planning Tax Lot Layers; MapPLUTO 09 V1 is here and includes data updated through Spring of 2009. MapPLUTO models tax lots throughout New York City. This dataset represents a compilation of data from various government agencies throughout New York. The attribute data pertains to tax lot and primary building characteristics and information related to administrative and political districts for each tax lot in New York City. The underlying geography is derived from the Department of City Planning’s Tax Block and Tax Lot Base Map project.
The datasets are only available in the EDS lab during lab hours.
We have recently acquired a variety of datasets for features in Mumbai, India. Digitized from maps at a scale of 1:7500, a total of 6 layers representing streets, water bodies, railroads, points of interest, boundaries and oparks are available. Metadata records are now retrievable from the CU Spatial Data Catalog. Remote access is available to these datasets for current CU affiliates via UNI.
We have recently aquired a variety of datasets for features in Venice, Italy derived from the NAVSTREETS database. A total of 30 layers representing building footprints, streets, waterways, railroads, points of interest, facilities, boundaries and other features are available. Metadata records are now retrievable from the CU Spatial Data Catalog. Unfortunately we cannot deliver these datasets remotely, but you can visit the EDS lab for access.
We recently purchased a layer from Platts representing major electric transmission lines throughout North America. Attribute information includes owner, voltage, company, category, length, circuit, transmission type and substation information. This dataset meets or exceeds the National Map Accuracy Standards for geospatial data at a 1:250,000 map scale and is available for download from our spatial data catalog.
This summer we acquired the 1996 ArcAtlas: Our Earth collection from ESRI. The atlas features dozens of datasets representing a wide ranging array of features, including climatical, geological, biological and political characteristics as well as physical facilities. We have merged most of the ArcAtlas layers to create world-wide coverages, and these new datasets are available for download from the CU Spatial Data Catalog.
We’ve been working all summer to add records for our newer datasets in the CU spatial data catalog. We will be detailing some of these new additions over the next few days. Of notable interest is the addition of the vector layers for the 2008 ESRI Data & Maps Collection. These layers include a variety of data types from throughout the world and are in ESRI’s compressed Smart Data Compression (SDC) format. They can also be downloaded remotely for current Columbia affiliates. Please note that most of the superseded data layers from previous years’ collections have been removed from the catalog in order to make finding the most recent data easier. If you do require any of the older editions, please come see us in the EDS lab.