Y. Chun

发表

Network Reliability and Resilience of Rapid Transit Systems

Hyun Kim, Changjoo Kim, Y. Chun, 2015 .

Residual spatial autocorrelation in macroecological and biogeographical modeling: a review

Y. Chun, Daehyun Kim, Guetchine Gaspard, 2019, Journal of Ecology and Environment.

GIS and Spatial Statistics/Econometrics: An Overview

D. Griffith, Y. Chun, 2018 .

Modeling Network Autocorrelation in Space–Time Migration Flow Data: An Eigenvector Spatial Filtering Approach

D. Griffith, Y. Chun, 2011 .

A quality assessment of eigenvector spatial filtering based parameter estimates for the normal probability model

Daniel A. Griffith, Yongwan Chun, D. Griffith, 2014 .

Space–Time Analysis: Concepts, Quantitative Methods, and Future Directions

Li An, Yongwan Chun, Ming-Hsiang Tsou, 2015 .

A review of spatial statistical approaches to modeling water quality

Y. Chun, Heejun Chang, Janardan Mainali, 2019, Progress in Physical Geography: Earth and Environment.

Geographical Analysis: Its First 40 Years

Daniel A. Griffith, Robert Haining, Morton E. O'Kelly, 2013 .

Using Bayesian Methods to Control for Spatial Autocorrelation in Environmental Justice Research: An Illustration Using Toxics Release Inventory Data for a Sunbelt County

Y. Chun, Yushim Kim, H. Campbell, 2012 .

Simulation Analysis of Error Propagation on Land Cover Change Maps: A Comparison of Contextual and Non-contextual Models

Desheng Liu, Y. Chun, 2008 .

Impacts of positional error on spatial statistics confidence intervals

D. Griffith, Y. Chun, 2014 .

Space-Time Statistical Insights about Geographic Variation in Lung Cancer Incidence Rates: Florida, USA, 2000–2011

D. Griffith, Y. Chun, Lan Hu, 2018, International journal of environmental research and public health.

Spatial Autocorrelation and Moran Eigenvector Spatial Filtering

D. Griffith, Y. Chun, 2019, Handbook of Regional Science.

Impacts of negative spatial autocorrelation on frequency distributions

D. Griffith, Y. Chun, 2018 .

Modeling Crime Density with Population Dynamics in Space and Time: An Application of Assault in Gangnam, South Korea

Y. Chun, Yeondae Jung, Kamyoung Kim, 2020 .

Temperature and assault in an urban environment: An empirical study in the city of Seoul, South Korea

D. Griffith, Y. Chun, Yeondae Jung, 2020 .

Residential Relocation in a Metropolitan Area: A Case Study of the Seoul Metropolitan Area, South Korea

Y. Chun, Monghyeon Lee, 2016 .

Deeper Spatial Statistical Insights into Small Geographic Area Data Uncertainty

D. Griffith, Y. Chun, Monghyeon Lee, 2020, International journal of environmental research and public health.

Impacts of Spatial Autocorrelation in Georeferenced Beta and Multinomial Random Variables

D. Griffith, Y. Chun, Lan Hu, 2020 .

Spatial Data Analysis Uncertainties Introduced by Selected Sources of Error

D. Griffith, Y. Chun, Monghyeon Lee, 2017 .

Incorporating spatial autocorrelation into house sale price prediction using random forest model

D. Griffith, Y. Chun, Lan Hu, 2022, Trans. GIS.

When Space Beats Time: A Proof of Concept with Hurricane Dean

D. Griffith, M. Millones, B. Parmentier, 2017 .

Some useful details about the Moran coefficient, the Geary ratio, and the join count indices of spatial autocorrelation

D. Griffith, Y. Chun, 2022, Journal of Spatial Econometrics.

Uncovering a positive and negative spatial autocorrelation mixture pattern: a spatial analysis of breast cancer incidences in Broward County, Florida, 2000–2010

D. Griffith, Y. Chun, Lan Hu, 2020, Journal of Geographical Systems.

A zero-inflated spatiotemporal analysis for snowpack variations and influence of environmental factors in the Northern Hemisphere

John P. Wilson, Yumin Chen, Y. Chun, 2022, Journal of Hydrology.

Modeling Positional Uncertainty Acquired Through Street Geocoding

Daniel A. Griffith, Yongwan Chun, Hyeongmo Koo, 2018, Int. J. Appl. Geospat. Res..

Error propagation in spatial modeling of public health data: a simulation approach using pediatric blood lead level data for Syracuse, New York

Yongwan Chun, Monghyeon Lee, Daniel A Griffith, 2018, Environmental Geochemistry and Health.

Residual spatial autocorrelation in macroecological and biogeographical modeling: a review

Y. Chun, Daehyun Kim, Guetchine Gaspard, 2019, Journal of Ecology and Environment.

Spatial autocorrelation informed approaches to solving location–allocation problems

D. Griffith, Y. Chun, Hyun Kim, 2022, Spatial Statistics.

Modeling habitat use by Bryde’s whale Balaenoptera edeni off southeastern Brazil

Y. Chun, S. M. Simão, M. A. Alves, 2017 .

Assessing Trauma Center Accessibility for Healthcare Equity Using an Anti-Covering Approach

S. Shaw, Y. Chun, Heewon Chea, 2022, International journal of environmental research and public health.

p-Functional Clusters Location Problem for Detecting Spatial Clusters with Covering Approach

Hyun Kim, Yongwan Chun, Kamyoung Kim, 2017 .

Eigenvector selection with stepwise regression techniques to construct eigenvector spatial filters

Daniel A. Griffith, Yongwan Chun, Parmanand Sinha, 2016, J. Geogr. Syst..

Daniel A. Griffith, David W. S. Wong, Yongwan Chun, 2015 .

An eigenvector spatial filtering contribution to short range regional population forecasting

Daniel A. Griffith, Yongwan Chun, D. Griffith, 2014 .

Exploring urban commuting imbalance by jobs and gender

Yongwan Chun, Sunhee Sang, Sunhee Sang, 2012 .

Uncovering a positive and negative spatial autocorrelation mixture pattern: a spatial analysis of breast cancer incidences in Broward County, Florida, 2000–2010

Daniel A. Griffith, Lan Hu, Yongwan Chun, 2020, J. Geogr. Syst..

Revisiting environmental inequity in Southern California: Does environmental risk increase in ethnically homogeneous or mixed communities?

Y. Chun, Yushim Kim, 2019, Urban Studies.

Behavioral specifications of network autocorrelation in migration modeling: an analysis of migration flows by spatial filtering

Yongwan Chun, Y. Chun, 2007 .

Space-time cluster detection with cross-space-time relative risk functions

Daniel A. Griffith, Yongwan Chun, Hyeongmo Koo, 2020, Cartography and Geographic Information Science.

Analyzing Space–Time Crime Incidents Using Eigenvector Spatial Filtering: An Application to Vehicle Burglary

Yongwan Chun, Y. Chun, 2014 .

Delimitation of Functional Regions Using a p-Regions Problem Approach

Hyun Kim, Yongwan Chun, Kamyoung Kim, 2015 .

A Multilevel Eigenvector Spatial Filtering Model of House Prices: A Case Study of House Sales in Fairfax County, Virginia

Daniel A. Griffith, Yongwan Chun, Lan Hu, 2019, ISPRS Int. J. Geo Inf..

A Moran eigenvector spatial filtering specification of entropy measures

D. Griffith, Y. Chun, Jan Hauke, 2021, Papers in Regional Science.

Modeling spatial heterogeneity with MESF

D. Griffith, Y. Chun, Bin Li, 2019, Spatial Regression Analysis Using Eigenvector Spatial Filtering.

Network Autocorrelation and Spatial Filtering

Yongwan Chun, Y. Chun, 2013 .

Crime Scene Locations in Criminal Homicides: A Spatial Crime Analysis in a GIS Environment

Hyun Kim, Y. Chun, C. A. Gould, 2013 .

Habitat use models of spatially auto-correlated data: a case study of the common bottlenose dolphin, Tursiops truncatus truncatus, in southeastern Brazil

Y. Chun, S. M. Simão, M. A. Alves, 2019, Marine Biology Research.

Visualizing Migration Flows Using Kriskograms

Yongwan Chun, Ningchuan Xiao, N. Xiao, 2009 .

Spatial Autocorrelation in Spatial Interactions Models: Geographic Scale and Resolution Implications for Network Resilience and Vulnerability

Daniel A. Griffith, Yongwan Chun, D. Griffith, 2015 .

Modeling Community Health with Areal Data: Bayesian Inference with Survey Standard Errors and Spatial Structure

D. Griffith, Y. Chun, Connor Donegan, 2021, International journal of environmental research and public health.

Spatial interaction modeling

D. Griffith, Y. Chun, Bin Li, 2019, Spatial Regression Analysis Using Eigenvector Spatial Filtering.

Modeling network autocorrelation within migration flows by eigenvector spatial filtering

Yongwan Chun, Y. Chun, 2008, J. Geogr. Syst..

Spatial Autocorrelation and Uncertainty Associated with Remotely-Sensed Data

Daniel A. Griffith, Yongwan Chun, D. Griffith, 2016, Remote. Sens..

Spatial optimization for regionalization problems with spatial interaction: a heuristic approach

Yongwan Chun, Hyun Kim, Kamyoung Kim, 2016, Int. J. Geogr. Inf. Sci..

The effects of different classification models on error propagation in land cover change detection

Desheng Liu, Yongwan Chun, Desheng Liu, 2009 .

Modeling Sanction Choices on Fraudulent Benefit Exchanges in Public Service Delivery

Wei Zhong, Yongwan Chun, Yushim Kim, 2013, J. Artif. Soc. Soc. Simul..

Soil Sample Assay Uncertainty and the Geographic Distribution of Contaminants: Error Impacts on Syracuse Trace Metal Soil Loading Analysis Results

Y. Chun, D. A. Griffith, 2021, International journal of environmental research and public health.

Optimal Map Classification Incorporating Uncertainty Information

Daniel A. Griffith, Yongwan Chun, Hyeongmo Koo, 2017 .

Temporal changes in the urban system in South Korea

Y. Chun, Kamyoung Kim, 2022, Frontiers in Sustainable Cities.

Neighborhood impacts on household participation in payments for ecosystem services programs in a Chinese nature reserve: A methodological exploration

Y. Chun, R. Bilsborrow, Shuang Yang, 2021, Journal of Geographical Sciences.

Geovisualizing attribute uncertainty of interval and ratio variables: A framework and an implementation for vector data

Daniel A. Griffith, Yongwan Chun, Hyeongmo Koo, 2018, J. Vis. Lang. Comput..

Spatial Autoregressive Model for Population Estimation at the Census Block Level Using LIDAR-derived Building Volume Information

Fang Qiu, Yongwan Chun, Harini Sridharan, 2010 .

Measuring Local Spatial Autocorrelation with Data Reliability Information

David W. S. Wong, Y. Chun, Hyeongmo Koo, 2021 .

Uncertainty in the effects of the modifiable areal unit problem under different levels of spatial autocorrelation: a simulation study

Daniel A. Griffith, Sang-Il Lee, Yongwan Chun, 2018, Int. J. Geogr. Inf. Sci..

Integrating spatial data analysis functionalities in a GIS environment: Spatial Analysis using ArcGIS Engine and R (SAAR)

Daniel A. Griffith, Yongwan Chun, Hyeongmo Koo, 2018, Trans. GIS.

Uncertainty and context in GIScience and geography: challenges in the era of geospatial big data

Daniel A. Griffith, Mei-Po Kwan, Yongwan Chun, 2019, Int. J. Geogr. Inf. Sci..

Bayesian estimation of spatial filters with Moran’s eigenvectors and hierarchical shrinkage priors

Amy E. Hughes, Connor Donegan, Yongwan Chun, 2020 .

Measuring Global Spatial Autocorrelation with Data Reliability Information

David W. S. Wong, Yongwan Chun, David W. S. Wong, 2019, The Professional geographer : the journal of the Association of American Geographers.

Modeling interregional commodity flows with incorporating network autocorrelation in spatial interaction models: An application of the US interstate commodity flows

Yongwan Chun, Hyun Kim, Changjoo Kim, 2012, Comput. Environ. Urban Syst..

Effects of geographically stratified random sampling initial solutions on solving a continuous surface p-median location problem using the ALTERN heuristic

D. Griffith, Y. Chun, Changho Lee, 2023, Spatial Statistics.