arcgis實(shí)習(xí)之空間統(tǒng)計(jì)分析報(bào)告

1、空間統(tǒng)計(jì)分析實(shí)習(xí)報(bào)告Spatial statistics tools分析模式工具集中的工具采用推論式統(tǒng)計(jì)，以零假設(shè)為起點(diǎn)，假設(shè)要素與要素相關(guān)的值均表現(xiàn)隨機(jī)分布。然后計(jì)算P值說(shuō)明，這種分布屬于隨機(jī)分布的概率。在應(yīng)用中，返回Z得分和P值判斷是否可以接受或拒絕零假設(shè)，同時(shí)在不同的工具中，還表示分布是聚集，或分散Nearest Neighbor Ratio: 0,602941i-score： -10.955125p Vlue： QnODOOQO是標(biāo)準(zhǔn)差的倍數(shù)，在0.5-P的概率下接受隨機(jī)分布的接受域riifica ntt Random)SigniFicanc L*火 I (p-value)O.C10.

2、050,10OhIO0.050.01-2.5S -L96 -1.631.5 -*.651.5 -1.961.56 -2,582,59CritkalYMua z-score) 2.5SCl uster-dGiven the r-score of -L0,56r there is 勺 less than 1% likelihood that this clustered patterr 匚皿歸 be the result of random chance.Spatial Autocorrelation (Morans I)空間自相關(guān)分析乙Spstial Autocoreljlion (Morans

3、 1)Inpit Ffalwt Cl&xi|de*rInpiLt FiJdDEIR/ Ijeneratg Report (.option&l)空間關(guān)系模型參數(shù)說(shuō)明空間要素之間的關(guān)系，越接近現(xiàn)實(shí)，結(jié)果越準(zhǔn)確Con:eptial丄工魚(yú)tion of Sj atial RtlAtLonships imKSI DISTABCEBi blaace MethodlEUTUDEAN DISTANCE/DiBwd g Ttd：j*skld Di 3.1 after指定反距離和固定距離中的距離參數(shù)，默認(rèn)距離為所有要素最臨近距離的最大值rTei-chts Natrix File (ojtioiial)Global

4、 Morans IMorans Index:(0824Expected Index:/-0-004S31Variance:0.001640z-score:2.608720p-value:0X09088Dataset InformationInput Feature Class:deerInput Field:DEEK.Conceptualization:INVERSE DISTAN匚E Distance Method:EUO1DEANRow StandardizationFalse405.99 MetersDistance ThresholdWeights Miatrix Fi叱 floneM

5、orans Index: 0.100824CriticaI Value (z-scoire) 2,58Given the z-see re of 2.1t there is a I ess thanlikelihood that ttiis clustered pattern couldbe the result of random chance.Multi-Distance Spatial Cluster Analysis K 函數(shù)分析通過(guò)Calculate Dista nee Ba nd From Neighbor cou nt 計(jì)包含一個(gè)近鄰點(diǎn)的最大距離，作為k函數(shù)的起始距離。將最近鄰距

6、離的期望距離作為間隔Multi-Distance Soatia Cluster Aulyss (Ripleys K Function)0tpiit TablaE r,gi 五雹hi v i aw i rj*斤 jrFiirii al i oriNomb電f of DiEtanjie BacidsCvmput Cotkfl d.exk=E Exrvelae (ufti uiLiJ.) S9_FEUTA7I0HS0Dis?lAy Results GrtpKically (opt:on*11Study Area (ethol (optionsl)M1N1MLM_EMC11JS11GJiECTANGJ

7、iStudy Art& Feature Class kpticnal)I3CancelEn/ironrrentsB Hde HelpAnselin Local MoraI 局部 MoranI 分析:Cluster and Outlier Analysis (Anselin Local Morans 1)Input Feiture Cla百saTInput F i eldDEEROutput Fixture CLisGetis-Ord General G高低聚類分析General G高值集聚_%O b beloved General G :Lxpccted General G:0.019859/

8、Variance:o.oaoooaZ 5Core!1 -3-979863p-vdlue:0.000069Critical Value (i-reor)s.52tLovj-Cl ustersRaindornHighi-Cl ustersGiven the z-score of 3J8, there is a less than 1% likelihood that this hig clustered pattern could b the result of random chance.Hot spot Analysis(Getis-OrdGi*)熱點(diǎn)分析丁 Hot Spot Analysis

9、 (Getis-Ord Gi*)Input Feature Class|dtarInput Fi eld!DEEROutput Ftaiwrfr ClassE. atcgis_shi.xi Vex3分析Vgpotl. shpof 宜F/tial R甯.arti onwhiF肓HXEDISTAHCE_EAffD|Diitmca MethodEHCUDBAM-DISTUICESl.4ndardiTit.iwHOME:Distance aiid or Threshold Distance (optional)405Self Tvtential Field optional)Weights Matri

10、x File (optional)spotFIDShave *SOURCE IDDGERC i75cci&|CiFVelue |1Z6P&irit12127.001SO314Po-int1415-3.O71B7.畑皿141Point14114：-3. 0BM14P&iiit4GS-2.站強(qiáng)呂.M30A4G2Po-ir 七G2G2-2. 92S2S.M3231193Pa-lrt393194-：二適.W3351；C4P&int仙1052 7139亦鄧138Fo-int133132. 713919Fo-int1920-2. 71006.0067J779Point為GO2. g伯.006 刃 3茄Po

11、irt3372. TOlff.00691311GPa-int116317m匹.313177FVirt17717&.驅(qū)刃3m 斗0 卜”冃耳(0 out of 208 Selected)spotr倉(cāng)舍 tit* D 口！V P值小，z得分越大，高值聚集Z得分越小，低值聚集AdabgOO模式分析AdabgOO屬性結(jié)構(gòu)xTRACTQROVPSTF1Dtcxtalh i s panicLbIdoaredenit?COO旳1；CCKOC10C111S4564.斕s 6667531745L 774BG9p55；S35. 5741.4O9E5；CEOS 150031 53；CCK0010C3133754.

12、36；2.12432E23. S7：44一屈嘗71195；+62,痂J. 5BCS7：討2 544750032加2:CCClCOOiOCZ17BL3. 38318817EEL4S. E935C5s：C-M；0C3監(jiān)*73,期.%6B1EB4S.17ES7一000254:G1COC；OC4H6242. 53T &506LE1454. CC5SL2QOO2J35:CCJ0051350443. 23917.99712775.011971一QOO2J36:iCCa)0*1f50l3l_. 236選做Moran 的距離參數(shù)18850 fJ Mdscimurn Distance: 1S840.613Q6&

13、6109 i+i O Inputs 1+j M Environments + 詛 Messages相關(guān)性分析4* Spatial Autocorrelation (Morans pInput FesClss |*4&beP0Input Field!deni tir|2Generate Report (opt丄彷応直1)ConetpIvtiLlii on ef Sputi al R#lati mshipsIHVEB5E_DISTAHCEDistsiuse MethtdECLIDE BISTAHCES tandar diz at i mHDHEDiituct Band er Thrtihold18

14、8S0Weight弓 Matrix File (optiozial)Global MoranS I SummaryMorans Index:0.147624expected Index;-0.DC6849*%.varka ncei0*0001007-score:15.444749p-vakie:0.000000聚集分布Ddi|MMhrv4Ml盹O uGivon th z-score of 1 5,a4r there me a 鹿!&若 then 1% likelihood thuat this clusterecli pattern ccLildb6 the result af ran-dom

15、 chance.可以看到，adage的人口有聚集分布的態(tài)勢(shì)使用局部MoranI判斷熱點(diǎn)，冷點(diǎn)和異常值（聚集類型）idagejoza rriioranXFID空HHR上*SDUISCE IDdeni tyLMilnduLMiZSGure-LMiPValuecorjjM=Paly jz-zi-：43. 9-2535. DCHI3 86-J. 1621CLM5Pal-Jin.4 9- 17 ；r-S.口Pslr uM.73. O1L7L4n.WCHC-OCLHG117.06TM% 3S209 OW&CISA31Ralff-fl3：詞二 71&S37-00 了 W6-5彌陰CHG&E13iPulrE?

16、n卅J 57. KS l-OTTffl 155C3二丑討巳aln;aE441. 54J335DM 爍-3, B23=.LHElmn韭* DOT W37 03106M；245LMaPPairflinfi：“邑 flfiSU-.M：4r-3. 174BJ(W：MCLK 13PwlTES-a7. Z7L743 00412-：.I35Q3.&253C1LKB3&：41. iBTrAS-.13W435-7a C917bCLH福:-r5 1311H*叫沖-t 35713cL9STPelygsn7297- 37713-DO2-3-5S：-z. Ci5C9.OiCT-lTLHH 1 m 目(0 cur erf

17、 147 S#ltecDLegend藍(lán)色和紫色為異常值區(qū)域 紅色為高值聚集地區(qū) 藍(lán)色為低值聚集地區(qū)使用G統(tǒng)計(jì)量計(jì)算總體聚集程度工.o-w Cvriricj爻 mjp 他 I*MTIIFICvO 1. K.V-* 口 tmjrbdl asr Tlu Kl-aZ s If 1 k. I n fljk-di M - l-hv dEuiri_i iamr_EiH=mTC7Esi L &n dLiU- dl S * 1- 1 -a Fl.General G SummarySini ricance Level (p-valu*)0,010.050.10Observed General G: 0.00023

18、5z-score： 5.922326P-value; 0.000000Q.LD0.050.01CHtiul ValueEr*coreJ2.59 - 1.36 1.96 -1.6S 1.65 - Lh65l.5 -1961.96 -2h5S2,58Ujw-GI ustersFlantJcinnHiflh-Cl Lists rsObserved Ger era 1 G:O.COD235Expected GerptAl G:a.ooni72VdrldlKti；O.CODOCOz score:9.922326pvallP：O-CODOroGiven the z-score of 492 there i

19、s a less than 1% likelihood that this nighclustered pattern could be the result of random chance.r可以看到，adage人口呈現(xiàn)聚集分布，且類型為高值聚集接著對(duì)latino做相應(yīng)的操作相較人口分布，聚集沒(méi)有人口分布強(qiáng)烈dolai I Marairii* T SuniririarMorri | nrtx:Cl .OLit-lu 芻 Hp - va lve= OQno |Sh-siDie SOIfflCt. TDLatinoLMi InclexIMiZScareLViFValu*上 OTt ne.117

20、Pdlrffen-1171. 22*二00 丄 MN2. 444%T ok-*： a ILL60Puli J1.M4021271e. 3-02:LH?5r&icnTS2. C7T-.OQ6OT72 3WW.O&畀AEP&l?cnBe1. S44-CM1553九 97B37.04 7 SB：LH111P&lMcn111S. 3GE-.003757-2.69396.007M：HL:BP&l?Ecn13e B51*W7431HH46Po-Ifich46*HH50PelrficnS3/54MirimSi聚集類型和人口分布相同旳P&ljftifiRLJHH騎P&ljcn簫有異常值屈c(diǎn)lSiXH63PGl

21、yffcn63.O3149HHuP&lrffcn=-r6.遜一4議】.DOOCOjHH71Ped t 官 7Fi717r 326M7 5752 5n -63硼72Palyffen72& 44PI7576；.*975273FalCan.73EL 314PaiQ!4E3, 9105&-PQOcC-74F&ljgon.T4it- 515Pai4H6. 7 530彳曲od tP&lygcnf & 36EPOQ42M2. 2HG4.02213：.4HG1PqItcq815. 911.0252312,$811.O1 = 3JHU2Palyzcn.S2IS. 2S9.021381a.iicsIHH4PolyEun.S4EL 636124*05.05M7.OMX*atp已P| _ F 一 二H_- a-*r r j a q rJ fiCritical Value (z-score) 2.58DispersedRandomClustered21 / 20General G SummaryGeneral G: 0.00019ja弓1G;10.000172*pes廣0.0000003.770902D-vah