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Minneapolis, Minnesota, USA – November 24, 2015 – East View introduces a new value-added geospatial solution by combining authoritative infrastructure data with the award-winning LandScanTM Global Population Database.
Developed by the Oak Ridge National Laboratory and exclusively distributed by East View, LandScan provides the most accurate and reliable ambient population data covering the globe.
LandScan+ is a new opportunity for GIS users to improve their ability to analyze and understand the impact of conditions, surroundings and events on human population dynamics.
Since 1989, East View has acquired a vast archive of global maps and geospatial datasets that can now be paired with LandScan population data. Here are some examples:
|Ukraine 1:50K topographic vector data||South Africa 1:50K topographic vector data|
|Vietnam 1:50K topographic vector data||Myanmar 1:50K topographic vector data|
* These datasets were not used in the creation of LandScan. The images below represent the LandScan Vietnam population data and the primary road network in Vietnam that are combined to generate the LandScan+ mashup.
To learn more about the infinite cross-referencing opportunities, customization, sample data and pricing options with LandScan+ please contact East View at the following:
Product Manager – East View Information Services
Tel.: 952-252-1201 E-mail: firstname.lastname@example.org
About East View
East View was founded in 1989 and is headquartered in Minneapolis, Minnesota, USA.
East View is comprised of East View Information Services (www.eastview.com), East View Geospatial (www.geospatial.com) and East View Map Link (www.maplink.com). East View maintains thousands of supplier/publisher relationships throughout the world for maps and geospatial data and Russian, Arabic and Chinese-produced social and hard science content.
East View manages a data center, library and warehouse in Minneapolis where it hosts and stores dozens of foreign language databases, hundreds of thousands of maps and atlases and millions of geospatial, Russian, Chinese and Arabic metadata records.