ScholarWorks@Korea University: Kim, Young ho

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Kim, Young ho (김영호)

사범대학 (지리교육과)

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Tel 02-3290-2368
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Seoul:3||자전거:3||이변량 공간상관관계:2||계층적 의사결정 과정(AHP):2||Analytic Hierarchy Process (AHP):2||CCTV(ClosedCircuit Television):2||R&:2||Spatial autocorrelation:2||대중교통:2||Spatiotemporal change:2||크리깅:2||Eigenvector spatial filtering model:2||Japanese colonial period:2||CCTV:2||Kriging:2||bicycle:2||시공간 패턴:2||일제강점기:2||spatial autocorrelation:2||네트워크 자기상관:2||GIS:2||COVID19:2||Multilevel model:2||disjoint product method:2||공간회귀모형:2||경성:2||클러스터:2||공간적 네트워크 자기상관:2||Spatiotemporal patterns:2||Public bicycles:1||Fieldwork:1||Geographic research:1||retail geography:1||사회 ․환경적 결정요인:1||Social disease:1||spatial regression:1||AMOEBA 기법:1||2009 Revised curriculum:1||Spatial dependency:1||D산업체:1||공간적자기상관:1||다수준분석:1||다기준 의사결정법.:1||지표 오존:1||코크리깅.:1||Gi 통계법:1||Gi statistics:1||network spatial autocorrelation:1||GetisOrd G
statistics:1||Christians:1||Cellular Automata (CA):1||Bus Network Cluster:1||eigenvector spatial filtering:1||군사시설 규제:1||공동주택:1||Malaria:1||Human and natural factors:1||말라리아:1||인문·환경 요인:1||서울.:1||AMOEBA:1||교과서:1||Industry:1||흑두루미:1||육각 그리드:1||최대커버링입지모델(MCLP):1||multilevel analysis:1||공간스캔통계법:1||solarpower plants:1||지속가능한 입지:1||network analysis:1||농업 입지:1||local governments:1||정보격차:1||GetisOrd G 수치:1||Spatial distribution:1||도시 스프롤:1||Apartment:1||일반화 포아송 회귀모형:1||재개발:1||urban renewal:1||Quest activity:1||탐구활동:1||주거지 분화:1||Eigenvector spatial filtering:1||floating population:1||MCLP(Maximal Covering Location Problem):1||정규크리깅:1||Spatial regressive model:1||bike routes:1||analytic hierarchy process.:1||태양광발전소:1||ground level ozone:1||geographically weighted lasso:1||subway commuters:1||Land use land cover change:1||시공간변화:1||토지피복 변화:1||따릉이:1||Ttareongyi:1||multilevel model:1||location strategy:1||Generalized Poisson regression:1||Socioenvironmental determinants:1||gentrification:1||Cluster:1||2009개정 교육과정:1||순천만:1||적합도 모델링:1||입지적합성:1||Marine afforestation:1||Scrub typhus disease:1||D industry:1||안전도시:1||네트워크분석법(ANP):1||AMOEBA (A Multidirectional Optimum EcotopeBased Algorithm):1||bike:1||network autocorrelation:1||Ordinary Least Square regression:1||Hotspot analysis:1||Urban sprawl:1||셀룰라 오토마타:1||코로나19:1||사회적 질병:1||젠트리피케이션:1||Bivariate local Moran’s i:1||Habitat Evaluation Procedure (HEP):1||아이겐벡터 공간필터링:1||섬유 및 의복 산업체:1||다층모형:1||crime prevention:1||Analytic Network Process:1||네트워크 분석:1||bivariate spatial correlation:1||public transportation.:1||Agriculture location:1||공간정보:1||지역격차:1||지방자치단체:1||도시 스프롤 예측:1||public transportation:1||Network Autocorrelation:1||Bigdata:1||공공자전거:1||모바일 기술:1||고도제한:1||결핵:1||Tuberculosis (TB):1||공간 필터링:1||spatial filtering:1||Textbook:1||지리교육:1||유동인구:1||보건지리학:1||공간오차모형:1||Spatial error model:1||시공간 클러스터:1||Housing price:1||교통 네트워크:1||spatial information:1||regional gap:1||.:1||young adults:1||버스 네트워크 클러스터:1||Spatial network autocorrelation:1||Network cluster:1||야외조사:1||Mobile technology:1||Regulation from military facility:1||Flight safety zone:1||Bayesian spatial modeling:1||brand concept:1||differentiation:1||Modern industry:1||Korean geography:1||Geography education:1||한국지리:1||Hooded crane(Grus monacha):1||Suitability modeling:1||서식지 평가법(HEP):1||3D 크리깅:1||Location suitability:1||Dasymetric mapping:1||대시메트릭 매핑:1||Medial geography:1||Textile and cloth industry:1||safe city:1||공간보간법:1||Gij statistics:1||digital divide mitigation:1||Spatial inequality:1||Sprawl prediction:1||시공간 변화:1||빅데이터:1||네트워크 클러스터:1||malaria:1||지리적 탐구:1||Building height regulation:1||Spatial regression model:1||비행안전구역:1||아이겐벡터 공간필터링 모형:1||공간 회귀:1||근대 공업:1||공업:1||Residential segregation:1||Suncheon Bay:1||Hexagonal tessellation:1||Selfrated health status:1||바다숲:1||Ordinary Kriging:1||쯔쯔가무시증:1||Spacetime cluster:1||Hedonic price model:1||가격결정모형:1||주택가격:1||spatial scan statistics:1||자전거 노선:1||sustainable location:1||spatial interpolation:1||coKriging.:1||Gij 통계법.:1||transportation network:1||공간적 자기상관:1||복분자:1||Korean wild berry:1||공간자기상관:1||신뢰성:1||reliability:1||Eigenvector:1||Tuberculosis:1||Spatially filtered multilevel analysis:1||Neighborhood:1||네이버후드:1||

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