regression analysis回归分析

regression analysis回归分析

ID:7283557

大小:2.07 MB

页数:40页

时间:2018-02-10

regression analysis回归分析_第1页
regression analysis回归分析_第2页
regression analysis回归分析_第3页
regression analysis回归分析_第4页
regression analysis回归分析_第5页
资源描述:

《regression analysis回归分析》由会员上传分享,免费在线阅读,更多相关内容在工程资料-天天文库

1、Geob479January13Astatisticalprocedureusedtofindrelationsamongasetofvariables.BrianKlinkenberg1Geob479January13•Mappingdataenablesustoexamine(describe)wherethingsoccur(e.g.,areaswherethepopulationisoverweight,neighbourhoodswithhighercrimerates)BrianKlinkenberg2Geob479January13•Wecanthenask—w

2、hy?Whatfactorsareassociatedwithareaswherethepopulationisoverweight,withareasthathavehighercrimerates?•Ifwecanbegintounderstandtherelationsamongstthefactors,wecanthenbegintoconsiderpolicyimplications(movingfromdescriptiveanalyses[maps]toprescriptiveconsiderations).BrianKlinkenberg3Geob479Jan

3、uary13•Therearemanydifferentwaysofdevelopinganunderstandingofrelations.•Someofthemethodsinclude:•Correlationanalysis•RegressionanalysisBrianKlinkenberg4Geob479January13•Regressionanalysisallowsyoutomodel,examine,andexplorespatialrelationsandcanhelpexplainthefactorsbehindobservedspatialpatte

4、rns.•Youmaywanttounderstandwhatfactorscontributetohighernumbersofoverweightpeople,tohighercrimerates.•Bymodelingspatialrelations,however,regressionanalysiscanalsobeusedforprediction.Modelingthefactorsthatcontributetoobesitycanhelpplannersidentifyhowpolicycouldhelpreduceobesityrates.•Youmigh

5、talsouseregressiontoexaminethefactorsthatrelatebiodiversitylossestolandscapechanges(Fragstats).BrianKlinkenberg5Geob479January13•OrdinaryLeastSquares(OLS)isthebestknownofallregressiontechniques.Itisalsotheproperstartingpointforallspatialregressionanalyses.Itprovidesaglobalmodelofthevariable

6、orprocessyouaretryingtounderstandorpredict(obesity/biodiversityloss);itcreatesasingleregressionequationtorepresentthatprocess.•Geographicallyweightedregression(GWR)isoneofseveralspatialregressiontechniquesincreasinglyusedingeographyandotherdisciplines.GWRprovidesalocalmodelofthevariableorpr

7、ocessyouaretryingtounderstand/predictbyfittingaregressionequationtoeveryfeatureinthedataset.BrianKlinkenberg6Geob479January13Inregressionanalysis,thereisadependentvariable,whichistheoneyouaretryingtoexplain,andoneormoreindependentvariablesthatarerelatedt

当前文档最多预览五页,下载文档查看全文

此文档下载收益归作者所有

当前文档最多预览五页,下载文档查看全文
温馨提示:
1. 部分包含数学公式或PPT动画的文件,查看预览时可能会显示错乱或异常,文件下载后无此问题,请放心下载。
2. 本文档由用户上传,版权归属用户,天天文库负责整理代发布。如果您对本文档版权有争议请及时联系客服。
3. 下载前请仔细阅读文档内容,确认文档内容符合您的需求后进行下载,若出现内容与标题不符可向本站投诉处理。
4. 下载文档时可能由于网络波动等原因无法下载或下载错误,付费完成后未能成功下载的用户请联系客服处理。