Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Link opens in a new tab
Search content at Penn State
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
Can knowledge improve population forecasts at subcounty levels?
C. H.I. Guangqing
Agricultural Economics, Sociology and Education
SSRI/PRI Computational and Spatial Analysis Core
Research output
:
Contribution to journal
›
Article
›
peer-review
39
Link opens in a new tab
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Can knowledge improve population forecasts at subcounty levels?'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Earth and Planetary Sciences
Wisconsin
100%
Scale Effect
100%
Regional Planning
100%
Urban Planning
100%
Land Use
100%
Population Growth
100%
Regression Coefficient
100%
Land Development
100%
Keyphrases
Population Forecast
100%
Sub-county
100%
Knowledge Base
40%
Regression Method
40%
Extrapolation Method
40%
Temporal Instability
40%
Population Growth
20%
Wisconsin
20%
Significant Level
20%
Regional Planning
20%
Land Development
20%
Demographic Characteristics
20%
Regression Model
20%
Traffic Flow
20%
Environmental Impact
20%
Forecasting Techniques
20%
Socioeconomic Conditions
20%
Population Change
20%
Regression Approach
20%
Regression Coefficient
20%
Scale Effect
20%
Natural Amenities
20%
Urban Planning
20%
Geographic Scale
20%
Natural Lands
20%
Transportation Accessibility
20%
Social Sciences
Population Projection
100%
Transport
33%
Regional Planning
33%
Population Increase
33%
Population Dynamics
33%
Land Use
33%
Economics, Econometrics and Finance
Land Use
100%
Population Dynamics
100%