研究生大作業(yè)要求

1、裝訂線中國(guó)石油大學(xué)（北京）研究生考試答題紙姓名： 吳向陽(yáng) 學(xué)號(hào)： S090010118 所屬專業(yè)：地圖制圖學(xué)與地理信息工程考試課程：數(shù)字城市理論與方法題號(hào)分?jǐn)?shù)閱卷人 一二三四五六七八九十十一十二十三十四總分注意事項(xiàng)1 所有答案必須寫在答題紙上，做在試題或草稿紙上一律無效。2 答題時(shí)必須寫清題號(hào)。3 字跡要清楚、保持卷面清潔。一律使用蘭色或黑色鋼筆或簽字筆。4 答完試題后，在“共 頁(yè)”處填寫答卷的總共頁(yè)數(shù)（包括第1頁(yè)）。«數(shù)字城市理論與方法» 課程作業(yè)要求 專業(yè)年級(jí) 地圖制圖學(xué)與地理信息工程 2009級(jí)， 學(xué)號(hào)S090010118姓名：_吳向陽(yáng)_ 分?jǐn)?shù) _一、 課程作業(yè)內(nèi)容課

2、程作業(yè)分為兩部分，一部分為讀書報(bào)告，另一部分為練習(xí)題。讀書報(bào)告內(nèi)容及練習(xí)題見附件1。二、 作業(yè)封面及裝訂要求l 以讀書報(bào)告的形式提交作業(yè)的紙質(zhì)版及電子版文檔。l 報(bào)告封面：要求寫明報(bào)告的題目，研究生姓名，學(xué)號(hào)，院系，專業(yè)名稱及報(bào)告提交時(shí)間。l 附件1附在報(bào)告前面一起裝訂。l 練習(xí)題附在報(bào)告后面。三、 讀書報(bào)告內(nèi)容及要求見附件。四、 答題要點(diǎn)及評(píng)價(jià)標(biāo)準(zhǔn)分為兩部分：讀書報(bào)告75分，練習(xí)題25分，總分100分。讀書報(bào)告答題要點(diǎn)：見附件1.評(píng)價(jià)標(biāo)準(zhǔn)：讀書報(bào)告采用百分制形式記分，主要由以下幾部分組成：查詢文獻(xiàn)：20分；報(bào)告格式：5分；報(bào)告內(nèi)容：30分；綜合分析：20分；練習(xí)題：25分。附件1：數(shù)字城市理

3、論與方法課程結(jié)業(yè)大作業(yè)系別：資源與信息學(xué)院，專業(yè)：地圖制圖學(xué)與地理信息工程，年級(jí)：2009級(jí)-一、文獻(xiàn)閱讀報(bào)告：數(shù)字城市的關(guān)鍵技術(shù)發(fā)展現(xiàn)狀分析（要求對(duì)某一技術(shù)的現(xiàn)狀、特點(diǎn)、難點(diǎn)及熱點(diǎn)問題進(jìn)行論述）。（一）報(bào)告內(nèi)容要求就數(shù)字城市的某一關(guān)鍵技術(shù)（如數(shù)字城市數(shù)據(jù)獲取、空間數(shù)據(jù)庫(kù)、空間挖掘、空間數(shù)據(jù)融合、空間數(shù)據(jù)可視化等）的研究現(xiàn)狀、特點(diǎn)、難點(diǎn)及熱點(diǎn)問題進(jìn)行闡述；或者就以上某問題以某篇文章展開討論。注意不要籠統(tǒng)地寫所有的關(guān)鍵技術(shù)，只需要對(duì)其中某一關(guān)鍵技術(shù)進(jìn)行重點(diǎn)闡述。（二）報(bào)告要求l 獨(dú)立查閱相關(guān)的文獻(xiàn)；l 對(duì)所查閱的文獻(xiàn)進(jìn)行整理，歸納總結(jié)，綜合分析；l 按規(guī)定內(nèi)容撰寫讀書報(bào)告；l 報(bào)告字?jǐn)?shù)不低于50

4、00字；l 按要求認(rèn)真完成練習(xí)題。二、Exercises on spatial data mining.Table 1: Database of facilities1. Consider the following database(table 1) about entertainment facilities in different cities. (a) Compute the support for item sets a, b, c and a, b, c. (b) Compute the confidence for the association rules a, b c. (

5、c) Compute the confidence for the association rules c a, b. (d) Why is the confidence not symmetric but support is?(e) Extract spatial association rules with a support more than 30 and a confidence more than 70 percent from the following table（ table 2）. X represents lakes in the database (the total

6、 number of lakes is 100). For each rule, write the support and the confidence.Table 2 2. Which data mining technique would you use for following scenarios: (a) An astronomer wants to determine if an unknown object in the sky is a special kind of galaxy(i.e. bent-double galaxy). (b) A meteorologist w

7、ants to predict the weather(temperature and precipitation) for the Thanksgiving weekend. (c) A urban planner who is designing a shopping mall wants to determine which categories of stores tend to be visited together. (d) A political analyst wants to group cities according to their voting history in

8、last twenty years. (e) In order to plan to police patrols the public safety department wants to identify hot-spots on a city map. (f) Epidemiologists want to predict the spread and movement of the Blue Nile virus. (g) Doctors want to determine if spatial location has an affect on the cancer-rate. (h

9、) Natural resource planners want to assess the total area of Pine forest stands using remotely sensed images.3. Which of the following spatial features show positive spatial auto correlation? Why?(Is there a physical/scientific reason?) Elevation slope, water content, temperature,soil type, population density, annual precipitation(rain,snow) 4. Classify the following spatial point functions into classes of positive spatial autocorrelation, n