Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
    • 指導教授
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  1. NTU Theses and Dissertations Repository
  2. 社會科學院
  3. 國家發展研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/86953
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor鄧志松zh_TW
dc.contributor.advisorChih-Sung Tengen
dc.contributor.author廖家陞zh_TW
dc.contributor.authorChia-Sheng Liaoen
dc.date.accessioned2023-05-02T17:02:32Z-
dc.date.available2023-11-09-
dc.date.copyright2023-05-02-
dc.date.issued2022-
dc.date.submitted2023-01-04-
dc.identifier.citation艾兆蕾(2005)。《影響住宅區地價因素之空間分析—以鄉鎮與縣市為例》。臺北:世新大學經濟研究所,碩士論文。
李章銘(2001)。《基因及環境於食道癌中之交互作用---其公共衛生及臨床之意義》。臺北:國立臺灣大學臨床醫學研究所,博士論文。
李開復(2019)。《我修的死亡學分》。臺灣:天下文化出版公司。
李豐(1982)。〈大腸癌是文明病〉,《健康世界》78:60-65。
吳明隆(2000)。《SPSS統計應用實務》。臺灣:松崗電腦圖書資料股份有限公司。
吳嘉凱、陳俞安、余化龍、李佩珍(2019)。〈空氣污染曝露與攝護腺癌發生之相關性〉,《健康科技期刊》5(2):49-60。
林宜平、呂宗學(2004)。〈談社經因素在流行病學研究之角色〉,《台灣公共衛生雜誌》23(5):335-7。
胡立諄、賴進貴(2006)。〈台灣女性癌症的空間分析〉,《台灣地理資訊學刊》4:39-55。
胡建夫(2011)。《只要富貴不要病—跟富貴病說拜拜》。臺灣:宇河文化出版有限公司。
高軒偉(2015)。《臺灣地區男性暴露於細懸浮微粒(PM2.5)與口腔癌之相關性》。高雄:中山醫學大學公共衛生學系碩士班,碩士論文。
徐鉅美(2003)。《臺灣地區結腸直腸癌部位別發生率長期趨勢及與鄉鎮別社會經濟地位之相關研究》。臺北:臺北醫學大學公共衛生研究所,碩士論文。
孫樹根、劉俊賢(2006)。〈從台灣城鄉嬰幼兒死亡率差異探討社會不公平問題〉,《農業推廣學報》21:33-58。
陳品玲(2003)。《流行病學概論》。臺北市:華杏出版股份有限公司。
陳美霞(2005)。〈南台灣的公共衛生問題與北台灣的比較分析〉,《台灣公共衛生雜誌》24(6):504-18。
陳嘉惠、蔡詠名、張國禎(2019)。〈細懸浮微粒資料精準度校正探討:以台北地區空氣盒子為例〉,《地理研究》70:109-141。
張春蘭(2006)。〈台灣疾病地圖繪製之研究與發展〉,《中華民國地圖學會學刊會刊》16:95-108。
莊薰仰(2013)。《台灣低收入戶與非低收入戶10年癌症盛行率差異及相關分析》。高雄:中山醫學大學公共衛生學系,碩士論文。
黃國虹(2011)。《臺灣第三勢力之空間分析》。臺北:臺灣大學國家發展研究所,碩士論文。
曾嶔元(2020)。《精準醫療:早期預防癌症,破解基因迷思對症下藥》。臺北市:時報文化出版企業股份有限公司。
董冠孚(2020)。《區域醫療資源差異與死亡率的關係─來自台灣的實證分析》。新北:淡江大學經濟學系經濟與財務碩士班,碩士論文。
廖勇柏、陳建仁、李文宗、徐書儀(2003)。〈台灣地區癌症死亡率與發生率電子地圖的建構及使用〉,《台灣公共衛生雜誌》22(3):227-36。
蔡世盟(1997)。《烏腳病社區(高砷暴露)民眾死亡率及其趨勢分析》。高雄:高雄醫學院醫學研究所,博士論文。
蔡麗珍(2014)。《癌症病人社會資本與身心健康關係之研究》。高雄:高雄醫學大學醫務管理暨醫療資訊學系碩士在職專班,碩士論文。
衛生福利部統計處(2021)。〈109年死因統計結果分析〉。
鄧志松(2006)。〈選舉的空間因素:以三次總統選舉為例〉,《國家發展研究》6(1):89-144。
謝惠紅、鄭士仁、劉璟燁、周世昌、蕭博仁(2006)。〈夏季日降雨量空間分布特性之研究〉,《農業工程學報》52(1):47-55。
Aiello, I., Fedele, M. L. M., Román, F., Marpegan, L., Caldart, C., Chiesa, J. J., Golombek, D. A., Finkielstein, C. V. & Paladino, N. (2012). “Circadian disruption promotes tumor-immune microenvironment remodeling favoring tumor cell proliferation.” Sci Adv. 6(42): eaaz4530.
Aizer, A. A., Chen, M. H., McCarthy, E. P., Mendu, M. L., Koo, S., Wilhite, T. J.,Graham, P. L., Choueiri, T. K., Hoffman, K. E., Martin, N. E., Hu, J. C. & Nguyen, P. L. (2013). “Marital status and survival in patients with cancer.” J Clin Oncol. 31(31): 3869-76.
Akaike, H. (1974). “A New Look at the Statistical Model Identification.” IEEE Transactions on Automatic Control 19(6): 716-723.
Albano, J. D., Ward, E., Jemal, A., Anderson, R., Cokkinides, V. E., Murray, T., Hanley, J., Liff, J. & Thun, M. J. (2007). “Cancer mortality in the United States by education level and race.” J Natl Cancer Inst. 99(18): 1384-94.
Anselin, L. (1988). Spatial Econometrics: Methods and Models. Berlin: Springer Science & Business Media.
Anselin, L. (1995). “Local Indicators of Spatial Autocorrelation─LISA.” Geographical Analysis 27(2): 93-115.
Anselin, L. (2005). “Exploring spatial data with GeoDaTM: a workbook.”Center for spatially integrated social science. 157.
Arnold, M., Moore, S. P., Hassler, S., Ellison-Loschmann, L., Forman, D. & Bray, F. (2014). “The burden of stomach cancer in indigenous populations: a systematic review and global assessment.” Guts. 63(1): 64-71.
Baquet, C. R., Commiskey, P., Mack, K., Meltzer, S. & Mishra, S. I. (2005). “Esophageal cancer epidemiology in blacks and whites: racial and gender disparities in incidence, mortality, survival rates and histology.” J Natl Med Assoc. 97(11): 1471-1478.
Bryere, J., Dejardin, O., Bouvier, V., Colonna, M.,Guizard, A. V., Troussard, X., Pornet, C., Galateau-Sallé, F., Bara, S., Launay, L., Guittet, L. & Launoy, G. (2014). “Socioeconomic environment and cancer incidence: a French population-based study in Normandy.” BMC Cancer 13(14): 87.
Blot, W. J. & Fraumeni, JF. Jr. (1977). “Geographic patterns of oral cancer in the United States: etiologic implications.” Journal of Chronic Diseases 30(11): 745-757.
Blot, W. J., Harrington, J. M., Toledo, A., Hoover, R., Heath, CW. Jr. & Fraumeni, JF. Jr. (1978). “Lung cancer after employment in shipyards during World War II.” N Engl J Med 299(12): 620-4.
Blot, W. J., Morris, L. E., Stroube, R., Tagnon, I. & Fraumeni, JF. Jr. (1980). “Lung and laryngeal cancers in relation to shipyard employment in coastal Virginia.” J Natl Cancer Inst 65(3): 571-5.
Blot, W. J., Davies, J. E., Brown, L. M., Nordwall, C. W., Buiatti, E., Ng, A. & Fraumeni, JF. Jr. (1982). “Occupation and the high risk of lung cancer in northeast Florida.” Cancer 50(2): 364-71.
Brook, R. D., Franklin, B., Cascio, W., Hong, Y., Howard, G., Lipsett, M. & Tager, I. (2004). “Air pollution and cardiovascular disease.” Circulation. 109(21): 2655-2671.
Bruni, L., Diaz, M., Barrionuevo-Rosas, L., Herrero, R., Bray, F., Bosch, F. X., Sanjosé, S. D. & Castellsagué, X. (2016). “Global estimates of human papillomavirus vaccination coverage by region and income level:a pooled analysis.” Lancet Glob Health. 4(7): 453-63.
Card, S. K., Mackinlay, J. D. & Shneiderman, B. (1999). Readings in Information Visualization: Using Vision to Think. San Francisco: Morgan Kaufmann.
Chang, C. C., Kuo, C. C., Liou, S. H. & Yang, C. Y. (2013). “Fine particulate air pollutionand hospital admissions for myocardial infarction in a subtropical city: Taipei, Taiwan.” Journal of Toxicology and Environmental Health, Part A. 76(7): 440-448.
Chen, D. R. & Truong, K. (2012). “Using multilevel modeling and geographically weighted regression to identify spatial variations in the relationship between place-level disadvantages and obesity in Taiwan.” Applied Geography 32(2): 737-45.
Cliff, A. D. & Ord, J. K. (1973). Spatial autocorrelation. London: Pion.
Cruickshank, J. K. & Beevers, D. G. (1989). Ethnic Factors in Health and Disease. London: Butterworth and Co.
Curtis, S. & Jones I. R. (1998). “Is there a place for geography in the analysis of health inequality?” Sociology of Health & Illness 20(5): 645-72.
Duleep, H. O. (1989). “Measuring socioeconomic mortality differentials over time” Demography 26(2): 345-51.
Duncan, C., Jones, K. & Moon, G. (1993). “Do places matter? A multi-level analysis of regional variation in health related behaviour in Britain” Social Science and Medicine 37(6): 725–33.
Duncan, C. & Jones, K. (1995). “Individuals and their ecologies: analysing the geography of chronic illness within a multi-level modeling framework.” Journal of Health and Place 1(1): 27–40.
Dunford, A., Weinstock, D. M., Savova, V., Schumacher, S. E., Cleary, J. P., Yoda, A., Sullivan, T. J., Hess, J. M., Gimelbrant, A. A., Beroukhim, R., Lawrence, M. S., Getz, G. & Lane, A. A. (2017). “Tumor-suppressor genes that escape from X-inactivation contribute to cancer sex bias.” Nature Genetics. 49: 10-16.
Edgren, G., Liang, L., Adami, H. O. & Chang, E. T. (2012). “Enigmatic sex disparities in cancer incidence.” European Journal of Epidemiology. 27: 187-196.
Environmental Systems Research Institute(1996). Using ArcView GIS. New York: ESRI.
Faggiano, F., Partanen, T., Kogevinas, M. & Boffetta, P. (1997). “Socioeconomic differences in cancer incidence and mortality.” IARC Scientific Publications 138: 65-176.
Gennady, L. A. & Natalia, V. A. (1999). “Interactive maps for visual data exploration.” International Journal of Geographical Information Science 13(4): 355-374.
Glick, B. (1979). “The spatial autocorrelation of cancer mortality.” Soc Sci Med Med Geogr 13(2): 123-30.
Haggett, P., Cliff, A. D. & Frey, A. (1977). Locational analysis in human geography. London: Edward Arnold.
Henry, A. K., Niu, X. & Boscoe, F. P. (2009). “Geographic disparities in colorectal cancer survival.” Int J Health Geogr 23(8): 48.
Hu, H., Dailey, A. B., Kan, H. & Xu, X. (2013). “The effect of atmospheric particulate matter on survival of breast cancer among US females.” Breast Cancer Res Treat. 139(1): 217-26.
Huisman, M., Kunst, A. E., Bopp, M., Borgan, J. K., Barrell, C., Costa, G., Deboosere, P., Gadeyne, S., Glickman, M., Marinacci, C., Minder, C., Regidor, E., Volkonen, T. & Mackenbach, J. P. (2005). “Educational inequalities in cause-specific mortality in middle-aged and older men and women in eight western European populations.” Lancet. 365(9458): 493-500.
Iwai, K., Mizuno, S., Miyasaka, Y. & Mori, T. (2005). “Correlation between suspended particles in the environmental air and causes of disease among inhabitants: cross-sectional studies using the vital statistics and air pollution data in Japan.” Environ Res. 99(1): 106-17.
Kaplan, G. G., Dixon, E., Panaccione, R., Fong, A., Szyszkowicz, M., Wheeler, A., MacLean, A., Buie, W. D., Leung, T., Heitman, S. J. & Villeneuve, P. J. (2009). “Effect of ambient air pollution on the incidence of appendicitis.” CMAJ. 181(9): 591-7.
Kinsey, T., Jemal, A., Liff, J., Ward, E. & Thun, M. (2008). “Secular trends in mortality from common cancers in the United States by educational attainment, 1993-2001.” J Natl Cancer Inst. 100(14): 1003-12.
Kraak, M. J. (2003). “Geovisualization illustrated.” ISPRS Journal of Photogrammetry and Remote Sensing 57(5): 390-399.
Kravdal, O. (2001). “The impact of marital status on cancer survival.” Soc Sci Med. 52(3): 357-68.
Lawrence, L. (2014). “Cancer Care Faces a Growing Crisis: Obesity.” https://connection.asco.org/magazine/features/cancer-care-faces-growing-crisis-obesity. Retrieval Date: 2014/08/27.
López-Abente, G., García-Pérez, J., Fernández-Navarro, P., Boldo, E. & Ramis, R. (2012). “Colorectal cancer mortality and industrial pollution in Spain.” BMC Public Health. 12(1): 589.
Luyster, F. S., Strollo, PJ. Jr., Zee, P. C. & Walsh, J. K. (2012). “Sleep: A Health Imperative.” Sleep. 35(6): 727-734.
Lynch, M. (2010). “Rate, molecular spectrum, and consequences of human mutation.” Proc Natl Acad Sci U.S.A. 107(3): 961-968.
Macintyre, S., Maciver, S. & Soomans, A. (1993). “Area, class and health: should we be focusing on places or people.” Journal of Social Policy 22(2): 213-34.
Macintyre, S., Ellaway, A. & Cummins, S. (2002). “Place effects on health: how can we conceptualise, operationalise and measure them?” Soc Sci Med 55(1): 125-39.
Mannucci, P. M., Harari, S., Martinelli, I & Franchini, M. (2015). “Effects on health of air pollution: a narrative review.” Intern Emerg Med. 10(6): 657-62.
Monmonier, M. S. (1996). How to Lie with Maps. Chicago: University of Chicago Press.
Mukherjee, S. (2011). The Emperor of All Maladies : A Biography of Cancer. New York: Scribner.
Oh, J. K. & Weiderpass, E. (2014). “Infection and cancer:global distribution and burden of diseases.” Ann Glob Health. 80(5): 384-92.
Ott, J. J., Ullrich, A., Mascarenhas, M. & Stevens, G. A. (2011). “Global cancer incidence and mortality caused by behavior and infection.” J Public Health. 33(2): 223-33.
Pan, W. C., Wu, C. D., Chen, M. J., Huang, Y. T., Chen, C. J., Su, H. J. & Yang, H. I. (2015). “Fine Particle Pollution, Alanine Transaminase, and Liver Cancer: A Taiwanese Prospective Cohort Study (REVEAL-HBV).” J Natl Cancer Inst. 108(3): 341.
Parent, M. É., Goldberg, M. S., Crouse, D. L., Ross N. A., Chen, H., Valois, M. F. & Liautaud, A. (2013). “Traffic-related air pollution and prostate cancer risk: a case-control study in Montreal, Canada.” Occup Environ Med. 70(7): 511-8.
Pearson-Stuttard, J., Zhou, B., Kontis, V., Bentham, J., Gunter, M. J. & Ezzati, M. (2017). “Worldwide burden of cancer attributable to diabetes and high body-mass index: a comparative risk assessment.” Lancet Diabetes Endocrinol 6(2): 95-104.
Raoul, J. L. (2008). “Natural history of hepatocellular carcinoma and current treatment options.” Semin Nucl Med. 38(2): 13-8.
Shepard, D. (1968). “A two-dimensional interpolation function for irregularly-spaced data.” Proceedings of the 1968 23rd ACM national conference. 1: 517-524.
Schenck-Gustafsson, K., DeCola, P. R., Pfaff, D. W. & Pisetsky, D. S. (2012). Handbook of Clinical Gender Medicine Basel. New York: S. Karger.
Shin, M., Kim, O. J., Yang, S., Choe, S. A. & Kim, S. Y. (2022). “Different Mortality Risks of Long-Term Exposure to Particulate Matter across Different Cancer Sites.” Int J Environ Res Public Health. 19(6): 3180.
Song, N., Shin, A., Jung, H. S., Oh, J. H. & Kim, J. (2017). “Effects of interactions between common genetic variants and smoking on colorectal cancer.” BMC Cancer 17(1): 869.
Sprehn, G. C., Chambers, J. E., Saykin, A. J., Konski, A. & Johnstone, P. A. (2009). “Decreased cancer survival in individuals separated at time of diagnosis: critical period for cancer pathophysiology?” Cancer. 115(21): 5108-16.
Tabachnick, B. G. & Fidell, L. S (1996). Using Multivariate Statistics. New York: HarperCollins College Publishers.
Tagliabue, G., Borgini, A., Tittarelli, A., van Donkelaar, A., Martin R. V., Bertoldi, M., Fabiano, S., Maghini, A., Codazzi, T., Scaburri, A., Favia, I., Cau, A., Barigelletti, G., Tessandori, R. & Contiero, P. (2016). “Atmospheric fine particulate matter and breast cancer mortality: a population-based cohort study.” BMJ Open. 6(11): e012580.
Tan, A., Yeh, S. H., Liu, C. J., Cheung, C., Chen, P. J. (2008). “Viral hepatocarcinogenesis: from infection to cancer.” Liver International 28(2): 175-88.
Tasevska, N., Jiao, L., Cross, A. J., Kipnis, V., Subar, A. F., Hollenbeck, A., Schatzkin, A. & Potischman, N. (2012). “Sugars in diet and risk of cancer in the NIH-AARP Diet and Health Study.” Int J Cancer 130(1): 159-69.
Tobler, W. R. (1970). “A Computer Movie Simulating Urban Growth in the Detroit Region.” Economic Geography 46(1): 234-240.
Tomasetti, C. & Vogelstein, B. (2015). “Variation in cancer risk among tissues can be explained by the number of stem cell divisions.” Science 345(6217): 78-81.
Tomasetti, C., Li, L. & Vogelstein, B. (2017). “Stem cell divisions, somatic mutations, cancer etiology, and cancer prevention.” Science 355(6331): 1330-1334.
Torre, L. A., Siegel, R. L., Ward, E. M. & Jemal, A. (2016). “Global cancer incidence and mortality rates and trends-An update.” Cancer Epidemiol Biomarkers Prev. 25(1): 16–27.
Turner, M. C., Krewski, D., Diver, W. R., Pope C. A. 3rd, Burnett R. T., Jerrett M., Marshall, J. D. & Gapstur, S. M. (2017). “Ambient Air Pollution and Cancer Mortality in the Cancer Prevention Study II.” Environ Health Perspect. 125(8): 087013.
Vulcan, A., Manjer, J. & Ohlsson, B. (2017). “High blood glucose levels are associated with higher risk of colon cancer in men: a cohort study.” BMC Cancer 17(1): 842.
Wilkinson, R. G. (1996). Unhealthy Societies: From Inequality to Well-Being. England, UK: Routledge.
Winn, D. M., Blot, W. J., Shy, C. M., Pickle, L. W., Toledo, A. & Fraumeni, JF. Jr. (1981). “Snuff dipping and oral cancer among women in the southern United States.” N Engl J Med 304(13): 745-9.
Yang, C. C., Cheng, L. C., Lin, S. C., Ke, T. M., Huang, C. I., Su, Y. C. & Tai, M. H. (2019). “The impact of marital status on survival in patients with surgically treated colon cancer.” Medicine(Baltimore). 98(11): e14856.
Zaltman, G. & Burger, P. C. (1975). Marketing Research:Fundamentals & Dynamics. New York: Dryden Press.
Zhu, L., Finkelstein, D., Gao, C., Shi, L., Wang, Y., López-Terrada, D., Wang, K., Utley, S., Pounds, S., Neale, G., Ellison, D., Onar-Thomas, A. & Gilbertson, R. J. (2016). “Multi-organ mapping of cancer risk.” Cell 166(5): 1132-1146.
-
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/86953-
dc.description.abstract本研究欲探討臺灣前十大癌症中,可解釋性的高低以及環境解釋因子的異同,尤其是聚焦在受經社背景的影響程度。
本研究利用空間分析方法,以臺灣本島鄉鎮市區作為研究單位,蒐集各區域的臺灣前十大癌症標準化死亡率和盡可能地透過地毯式盤查所有政府公開資料,經過視覺化呈現、空間探索分析以及空間迴歸分析,試圖考量到所有環境解釋因子,進行癌症可解釋性以及受經社背景影響程度分析。
研究發現,當居住在經社背景較弱的區域時,需要注意氣管、支氣管和肺癌、口腔癌、肝和肝內膽管癌及食道癌,因為有較高的機率因上述所提到的癌症而死亡;居住在汙染較嚴重的區域時,會有較高的機率會罹患前列腺(攝護腺)癌、結腸、直腸和肛門癌及肝和肝內膽管癌。
另外,可解釋力高的癌症有口腔癌、胃癌、食道癌、肝和肝內膽管癌;可解釋力中的癌症有結腸、直腸和肛門癌、前列腺(攝護腺)癌、氣管、支氣管和肺癌;可解釋力低的癌症有卵巢癌、胰臟癌和女性乳癌。因此,在平常時需要更注意卵巢癌、胰臟癌和女性乳癌,因為其可解釋性低,強調「及早發現、及早治療」。
zh_TW
dc.description.abstractThis research aims to explore the interpretability and differences of environmental factors of the top ten cancers of Taiwan, primarily focusing on the effect of socio-economic background. Using spatial analysis, the top ten cancers’ mortality in various townships and districts in Taiwan were collected and analyzed. The data were collected from all governmental open data at the best of the researcher’s ability. Through visualization, exploratory spatial analysis and spatial regression analysis with consideration of all environmental factors, the influence of socio-economic background towards cancer interpretability can be analyzed.
Results show that residents from weak socio-economic background areas will have a higher chance of death in tracheal cancer, bronchus cancer, lung cancer, oral cancer, liver cancer, intrahepatic cholangiocarcinoma and esophageal cancer. In highly polluted areas, residents will have a higher chance of developing prostate cancer, colon cancer, rectum cancer, anal cancer, liver cancer and intrahepatic cholangiocarcinoma. High interpretability cancers include oral cancer, stomach cancer, esophageal cancer, liver and intrahepatic cholangiocarcinoma; medium interpretability cancers include colon cancer, rectal cancer, anal cancer, prostate cancer, tracheal cancer, bronchus cancer and lung cancer; low interpretability cancers include ovarian cancer, pancreatic cancer and female breast cancer. As such, attention should be focused on contacting low interpretability cancers, while emphasizing early diagnosis and treatment.
en
dc.description.provenanceSubmitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-05-02T17:02:32Z
No. of bitstreams: 0
en
dc.description.provenanceMade available in DSpace on 2023-05-02T17:02:32Z (GMT). No. of bitstreams: 0en
dc.description.tableofcontents碩士學位論文學術倫理聲明書 i
口試委員會審定書 iii
誌謝 v
摘要 vii
Abstract ix
第一章 緒 論 1
第一節 研究背景 1
第二節 研究動機 3
第三節 研究目的 5
第二章 相關理論回顧與文獻探討 7
第一節 癌症之突變種類 7
壹、 隨機錯誤 7
貳、 先天遺傳 9
參、 環境因素 10
第二節 空間與健康之關係 17
第三章 研究方法與研究設計 19
第一節 研究架構與研究範圍 19
壹、研究架構 19
貳、研究範圍 19
第二節 研究假設與研究限制 20
壹、 研究假設 20
貳、 研究限制 21
第三節 研究方法 22
壹、 視覺化呈現(Visualizations) 22
貳、 空間探索分析(Exploratory Spatial Data Analysis) 23
參、 空間內插方法 28
肆、 因素分析 29
伍、 空間迴歸分析(Spatial Regression Analysis) 30
第四章 空間分析 35
第一節 視覺化呈現和空間探索分析 35
壹、 自變數 35
貳、 比較臺灣前十大癌症標準化死亡率之空間分布 46
參、 空間自相關檢定 47
第二節 迴歸分析 50
第五章 結論與建議 55
第一節 研究結論 55
第二節 研究建議 56
參考文獻 57
附錄 65
附錄一、資料來源 65
附錄二、變數定義 69
-
dc.language.isozh_TW-
dc.subject癌症zh_TW
dc.subject經社背景zh_TW
dc.subject癌症之可解釋性zh_TW
dc.subject空間迴歸zh_TW
dc.subject鄰近效應zh_TW
dc.subjectSpatial Regressionen
dc.subjectSocio-economic Backgrounden
dc.subjectExplainability of Cancersen
dc.subjectNeighbourhood effecten
dc.subjectCanceren
dc.title癌症死亡率的空間分析:不同癌症的可解釋性與環境解釋因子比較zh_TW
dc.titleSpatial Analysis of Cancer Mortality: Comparison of Environmental Factors and Various Cancers’ Interpretabilityen
dc.typeThesis-
dc.date.schoolyear111-1-
dc.description.degree碩士-
dc.contributor.oralexamcommittee陳端容;溫在弘zh_TW
dc.contributor.oralexamcommitteeDuan-Rung Chen;Tzai-Hung Wenen
dc.subject.keyword癌症,鄰近效應,空間迴歸,經社背景,癌症之可解釋性,zh_TW
dc.subject.keywordCancer,Neighbourhood effect,Spatial Regression,Socio-economic Background,Explainability of Cancers,en
dc.relation.page77-
dc.identifier.doi10.6342/NTU202210134-
dc.rights.note未授權-
dc.date.accepted2023-01-06-
dc.contributor.author-college社會科學院-
dc.contributor.author-dept國家發展研究所-
顯示於系所單位:國家發展研究所

文件中的檔案:
檔案 大小格式 
ntu-111-1.pdf
  未授權公開取用
4.83 MBAdobe PDF
顯示文件簡單紀錄


系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved