1 |
Anselin, L. 1995. Local indicators of spatial association-LISA. Geographical Analysis 27(2):93-115.
DOI
|
2 |
Chae, J., Thom, D., Jang, Y., Kim, S., Ertl, T., Ebert, D. S. 2014. Public Behavior Response Analysis in Disaster Events Utilizing Visual Analytics of Microblog Data. Computers & Graphics 38:51-60.
DOI
|
3 |
Gim, S. 2013. Discursive Construction of the Seoul Metropolitan Cultural Space: Focused on the Hongdae Area. The Seoul Institute Policy Research. pp. 1-89.
|
4 |
Gundogdu, D., Incel, O. D., Salah, A. A., Lepri, B. 2016. Countrywide Arrhythmia: Emergency Event Detection Using Mobile Phone Data. EPJ Data Science 5(1):25.
DOI
|
5 |
Han, M., Yu, S. J. 2019. Prediction of Baltic Dry Index by Applications of Long Short-Term Memory. The Korean Society for Quality Management 47(3):497-508.
|
6 |
Han, S. W., Mei, Y., Tsui, K. L. 2008. A Comparison between SCAN and CUSUM Methods for Detecting Increases in Poisson Rates. School of ISyE, Georgia Institute of Technology, Atlanta, GA. Technical report.
|
7 |
Jeong, Y. Y., Moon, T. H. 2014. Analysis of Seoul Urban Spatial Structure Using Pedestrian Flow Data - Comparative Study with '2030 Seoul Plan' -. Journal of the Korean Regional Development Association 26(3):139-158.
|
8 |
Kim, M., Kang, S., Kim, S. P., Sohn, H. G. 2016. A Spatial Analysis of Shelter Capacity Using Floating Population. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography 34(1):1-10.
DOI
|
9 |
Kim, S., Lee, Y. D. 2005. Cusum Control Chart for Monitoring Process Variance. The Korean Society for Quality Management 33(3):149-155.
|
10 |
Kracalik, I., Lukhnova, L., Aikimbayev, A., Pazilov, Y., Temiralyeva, G., Blackburn, J. K. 2011. Incorporating Retrospective Clustering into a Prospective Cusum Methodology for Anthrax: Evaluating the Effects of Disease Expectation. Spatial and Spatio-temporal Epidemiology 2(1):11-21.
DOI
|
11 |
Kwon, D. S., Sohn S.Y. 2017. Spatial Analysis of Small Churches in Seoul Using Geographically Weighted Regression. Journal of the Korean Geographical Society 52(5):625-643.
|
12 |
Kwon, H., Hong, S. H., Lee, M. K., Lim, S. 2016. Literature Review on the Statistical Quality Control in Journal of the KSQM for 50 Years. The Korean Society for Quality Management 44(1):1-16.
DOI
|
13 |
Lee, K. M., Jung, C. M. 2014. The Effect of Time Period Pedestrian Volume on Store Location - Focused on the Suwon Retail Stores and Restaurants. Journal of the Architectural Institute of Korea Planning & Design 30(8):47-55.
DOI
|
14 |
Lee, M. L. 2015. Comparison of Multivariate CUSUM Charts Based on Identification Accuracy for Spatio-temporal Surveillance. The Korean Society for Quality Management 43(4):521-532.
DOI
|
15 |
Page, E. S. 1954. Continuous Inspection Schemes. Biometrika 41(1/2):100-115.
DOI
|
16 |
Lund, R., Seymour, L. 1999. Assessing Temperature Anomalies for a Geographical Region: A Control Chart Approach. Environmetrics: The Official Journal of the International Environmetrics Society 10(2):163-177.
DOI
|
17 |
Manogaran, G., Lopez, D. 2018. Spatial Cumulative Sum Algorithm with Big Data Analytics for Climate Change Detection. Computers & Electrical Engineering 65:207-221.
DOI
|
18 |
Oh, J. W., Lim, T. J. 2019. Regional Analysis of Extreme Values by Particulate Matter(PM2.5) Concentration in Seoul, Korea. The Korean Society for Quality Management 47(1):47-57.
|
19 |
Lloyd, C. 2010. Spatial Data Analysis: An Introduction for GIS Users. Oxford University press.
|
20 |
Lee, Y. S., Park, H. S., Lew S. H., Kang J. M. 2014. An Analysis of the Location Factors that Affects the Sales of Campus Commercial District. Seoul Studies 15(1):17-34.
|
21 |
Kim, H. J., Lee, S. W. 2011. Determinants of 5 Major Crimes in Seoul Metropolitan Area: Application of Mixed GWR Model. Seoul Studies 12(4):137-155.
|
22 |
Seo, M. K., Yun, W. 2019. Condition Monitoring and Diagnosis of a Hot Strip Roughing Mill Using an Autoencoder. The Korean Society for Quality Management 47(1):75-86.
|
23 |
Qiu, P. 2013. Introduction to Statistical Process Control. Chapman and Hall/CRC.
|
24 |
Rogerson, P. A. 1997. Surveillance Systems for Monitoring the Development of Spatial patterns. Statistics in Medicine 16(18):2081-2093.
DOI
|
25 |
Rogerson, P. A. 2005. Spatial Surveillance and Cumulative Sum Methods. Spatial and Syndromic Surveillance for Public Health. pp. 95-114.
|
26 |
Sonesson, C. 2007. A CUSUM Framework for Detection of Space-time Disease Clusters Using Scan Statistics. Statistics in Medicine 26(26):4770-4789.
DOI
|
27 |
Vidal Rodeiro, C. L., Lawson, A. B. 2006. Monitoring Changes in Spatio Temporal Maps of Disease. Biometrical Journal: Journal of Mathematical Methods in Biosciences 48(3):463-480.
DOI
|
28 |
Yamada, I., Rogerson, P. A., Lee, G. 2009. GeoSurveillance: A GIS-based System for the Detection and Monitoring of Spatial Clusters. Journal of Geographical Systems 11(2):155-173.
DOI
|
29 |
Zhang, H., Zheng, Y., Yu, Y. 2018. Detecting Urban Anomalies Using Multiple Spatio-Temporal Data Sources. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2(1):54.
|
30 |
Montgomery, D. C. 2009. Introduction to Statistical Quality Control. John Wiley & Sons : New York.
|