Geographic Information Systems

Geographic information systems allow individuals to view and analyze data overlaid on maps, making connections between activities based on geographic proximity. RAND researchers have been using GIS mapping for more than 20 years in a wide range of contexts, such as military simulation and modeling; analysis of health care delivery and quality; documenting neighborhood and demographic changes; land use economics; and transportation systems analyses.

Research conducted by: RAND Health; RAND National Security Research Division; RAND Labor and Population; RAND Drug Policy Research Center; RAND Infrastructure, Safety, and Environment; RAND Project AIR FORCE

All Items (23)

REPORT

Mapping the Gaps: Ideas for Using GIS to Enhance Local Health Department Priority Setting and Program Planning — Oct 19, 2011

Geographic information system (GIS) mapping software is a promising tool for enhancing priority-setting and resource allocation in local health departments (LHDs) by displaying complex geospatial information in an integrated, visual way, enabling comparison of where health services are needed with where they are provided. The study describes options for accessing GIS data and suggests ways for LHDs to integrate GIS into their planning…

JOURNAL ARTICLE

Using Geographic Information Systems to Match Local Health Needs with Public Health Services and Programs — Dec 31, 2010

Large local health departments could better inform planning and investments by using geographic information systems to align community needs and health outcomes with public health programs.

REPORT

Opportunities Created by GPS for U.S. Defense, Commercial, and Foreign Policy Interests — Dec 7, 2007

Since the Global Positioning System (GPS) was originally deployed to aid U.S. armed forces in navigation and position location, it has evolved into a resource supporting civil, scientific, and commercial functions—from air traffic control to the Internet—with precision location and timing information.

REPORT

Using and Sharing Geospatial Information in the Department of Defense — Oct 5, 2007

The sharing of geospatial information provides the DoD both opportunities and challenges. Benefits include improved effectiveness resulting in better outcomes and efficiency in the form of reduced costs. Challenges include concern over security issues and technical difficulties in sharing information.

RESEARCH BRIEF

Benefits and Barriers: Using and Sharing Geospatial Information in the Department of Defense — Sep 10, 2007

This research brief summarizes the benefits of and barriers to sharing geospatial data among both private and government organizations and discusses a three-step methodology used to assess the outcomes and benefits of sharing.

JOURNAL ARTICLE

Carbon Monoxide Emissions from Passenger Vehicles: Predictive Mapping with an Application to Hamilton, Canada — Dec 31, 2004

Integrated urban models are designed to simulate land-use and transportation interactions and to allow predicts of traffic volume and vehicle emissions at the link level of the urban transport network.

REPORT

Mapping the Risks: Assessing the Homeland Security Implications of Publicly Available Geospatial Information — May 2, 2004

Assesses the homeland security implications of publicly available geospatial data and information.

RESEARCH BRIEF

America's Publicly Available Geospatial Information: Does It Pose a Homeland Security Risk? — Dec 31, 2003

In the wake of the September 11 attacks, some U.S. federal agencies curtailed public access to various sources of geospatial information. While recognizing many public and private benefits of such information, officials were concerned that terrorists...

REPORT

Assessing Benefits of the U.S. Forest Service's Geographic Information System: Research Design — Dec 31, 1990

Presents a research design developed to assess the impact of implementing a geographic information system (GIS) on mission-related work in the U.S. Department of Agriculture Forest Service.

REPORT

RAND's Cartographic Analysis and Geographic Information System (RAND-CAGIS) : A Guide to System Use — Dec 31, 1990

RAND-CAGIS (RAND's Cartographic Analysis and Geographic Information system) is a modular geographic information system capable of raster, vector, and tabular data manipulation.

JOURNAL ARTICLE

Geometric Projections of the Sphere and the Spheroid — Dec 31, 1960

Geometric projections have become increasingly important for the purpose of processing geographic (locational) data. A general theory is presented here whereby all mapping equations may be simply derived from one fundamental principle, that of the preservation of incidence relation together with the choice of an appropriate mapping basis (i.e. co-ordinate system).

PEOPLE

J. Scott Ashwood

Research Programmer
M.A. in political science, University of Rochester

PEOPLE

Cha-Chi Fan

Project Associate
M.S. in statistics, University of Illinois; M.S. in environmental science & policy, Southern Illinois University; B.S. in entomology, National Taiwan Univ

PEOPLE

Allen Fremont

Natural Scientist
M.D., Dartmouth Medical School; Ph.D. in sociology, University of Illinois at Urbana-Champaign; B.A. in social psychophysiology, University of California, Berkeley

PEOPLE

Austin Fu

Research Assistant
B.S. in engineering, Sun Yat-Sen University; M.A. in geography, UC Los Angeles

PEOPLE

Aaron Kofner

Research Programmer
M.S. in applied economics and management, Cornell University; M.A. in urban planning and transportation policy, University of California, Los Angeles

PEOPLE

Dimitris Potoglou

Analyst
Ph.D. in geography, McMaster University; M.Sc. in environmental engineering, National Technical University of Athens; B.Sc. in environmental studies, University of the Aegean

PEOPLE

Mary Ellen Slaughter

Quantitative Analyst
M.S. in epidemiology & biostatistics, Case-Western Reserve; B.S. in molecular biology & genetics, University of Maryland

PEOPLE

Paul Sorensen

Associate Director, RAND Transportation, Space, and Technology Program; Operations Researcher
Ph.D. in geography, University of California, Santa Barbara; M.A. in urban planning, University of California, Los Angeles; B.A., Dartmouth College

PEOPLE

Marika Suttorp

Quantitative Analyst
M.S. in biostatistics, University of California at Los Angeles

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