• 제목/요약/키워드: spatial-social distribution

검색결과 152건 처리시간 0.029초

사회정의와 복지지리학에 관한 고찰 (A 'Social Justice' in Geography of Welfare)

  • 배미애
    • 한국지역지리학회지
    • /
    • 제9권4호
    • /
    • pp.546-558
    • /
    • 2003
  • 복지지리학은 불평등과 사회정의를 강조하는 인문지리학의 한 분야이다. '사회정의'는 '인간의 욕구'와 더불어 포스트모던이후 복합적 담론에 대항하여 공간의 해석에 보편적으로 적용될 수 있는 가치기준으로 등장하였다. 복지지리학도 사회정의론을 바탕으로 복지개념을 재정립하고 복지를 향상시키려 노력하였으며 공간정의의 측면에서 분배정의를 논하였다. 본 논문은 사회정의의 다양한 이론들을 통하여 복지의 공간적 불평등과 정의로운 복지 분배가 가지는 의미를 살펴보고자 하였다. 그리고 평등, 효율성, 형평성, 공정성과 같은 사회정의를 평가하는 다양한 기준들을 복지지리학의 측면에서 복지의 정의로운 분배평가와 연계시키고자 하였으며 이를 통하여 결과적으로 복지의 평등한 분배에 기여하고자 하였다. 마지막으로 사회정의의 평가기준들을 복지 공간의 평가에 적용하는 데 있어서의 한계점 등을 논의하였다.

  • PDF

Spatial Distribution of the Population at Risk of Cholangiocarcinoma in Chum Phaung District, Nakhon Ratchasima Province of Thailand

  • Kaewpitoon, Soraya J;Rujirakul, Ratana;Loyd, Ryan A;Matrakool, Likit;Sangkudloa, Amnat;Kaewthani, Sarochinee;Khemplila, Kritsakorn;Eaksanti, Thawatchai;Phatisena, Tanida;Kujapun, Jirawoot;Norkaew, Jun;Joosiri, Apinya;Kaewpitoon, Natthawut
    • Asian Pacific Journal of Cancer Prevention
    • /
    • 제17권2호
    • /
    • pp.719-722
    • /
    • 2016
  • Background: Cholangiocarcinoma (CCA) is a serious health problem in Thailand, particularly in northeastern and northern regions, but epidemiological studies are scarce and the spatial distribution of CCA remains to be determined. A database for the population at risk is required for monitoring, surveillance and organization of home health care. This study aim was to geo-visually display the distribution of CCA in northeast Thailand, using a geographic information system and Google Earth. Materials and Methods: A cross-sectional survey was carried out in 9 sub-districts and 133 villages in Chum Phuang district, Nakhon Ratchasima province during June and October 2015. Data on demography, and the population at risk for CCA were combined with the points of villages, sub-district boundaries, district boundaries, and points of hospitals in districts, then fed into a geographical information system. After the conversion, all of the data were imported into Google Earth for geo-visualization. Results: A total of 11,960 from 83,096 population were included in this study. Females and male were 52.5%, and 47.8%, the age group 41-50 years old 33.3%. Individual risk for CCA was identifed and classified by using the Korat CCA verbal screening test as low (92.8%), followed by high risk (6.74%), and no (0.49%), respectively. Gender ($X^2$-test=1143.63, p-value= 0.001), age group ($X^2$-test==211.36, p-value=0.0001), and sub-district ($X^2$-test=1471.858, p-value=0.0001) were significantly associated with CCA risk. Spatial distribution of the population at risk for CCA in Chum Phuang district was viewed with Google Earth. Geo-visual display followed Layer 1: District, Layer 2: Sub-district, Layer 3: Number of low risk in village, Layer 4: Number of high risk in village, and Layer 5: Hospital in Chum Phuang District and their related catchment areas. Conclusions: We present the first risk geo-visual display of CCA in this rural community, which is important for spatial targeting of control efforts. Risk appears to be strongly associated with gender, age group, and sub-district. Therefor, spatial distribution is suitable for the use in the further monitoring, surveillance, and home health care for CCA.

격자기반 분석을 통한 위치기반 소셜 미디어 데이터와 부동산 가격지수 간의 공간적 상관성 분석 연구 (Analyzing Spatial Correlation between Location-Based Social Media Data and Real Estates Price Index through Rasterization)

  • 박우진;어승원;유기윤
    • 대한공간정보학회지
    • /
    • 제23권1호
    • /
    • pp.23-29
    • /
    • 2015
  • 본 연구에서는 위치기반 소셜 미디어 데이터의 공간적 분포가 지역별 부동산 지수와 어떠한 공간적 관련성을 가지는지에 대해 알아보고자 한다. 두 데이터는 상이한 자료 형식을 가지고 있어, 이를 보완할 수 있는 방법론으로 본 연구에서는 격자 기반의 공간분석 방법을 적용하였다. 대상 데이터로는 2013년 8월 한 달간의 지오태그된 트윗 데이터와 행정구역별 주택가격지수(매매, 전세)를 이용하였으며, 공간적 범위는 서울과 수도권 일부를 포함하도록 하였다. 두 데이터 간의 상이한 공간적 단위를 고려하여 2,000m 단위의 격자망을 구성하고 이에 맞게 두 데이터를 격자 데이터 형태로 변환하였다. 변환된 두 데이터에 대하여 Hot spot 분석을 실시하여 공간적 분포를 시각적으로 비교하였으며, 공간시차를 고려한 이변량 공간적 상관계수를 측정함으로써 정량적 분석을 실시하였다. 시각적, 정량적 분석 결과, 서초구 지역이 트윗 데이터와 주택매매가격지수 데이터에서 공통적인 Hotspot 지역으로 탐색되었으나 주택전세가격지수 데이터와는 뚜렷한 공간적 상관성이 탐색되지 않았다.

GIS를 활용한 지오파크 환경 민감성 평가 - 청송 세계지질공원의 사면재해 민감성을 중심으로 - (A GIS-based Environmental Sensitivity Assessment of Geopark - Slope Disaster in Cheongsong UNESCO Global Geopark -)

  • 김혜진;성효현;김지수;안세진
    • 한국지형학회지
    • /
    • 제27권2호
    • /
    • pp.81-97
    • /
    • 2020
  • Geopark refers to a single boundary area consisting of a collection of geosites and geotrails, which includes ecological, historical and cultural elements based on geological and geomorphological resources. To ensure the continued development and conservation of existing listed geoparks, it is necessary to carry out an environmental sensitivity analysis of the geopark components by utilizing spatial information from various scales. The objectives of this study are to analyze the environmental sensitivity in Cheongsong UNESCO global geopark in relation with slope disaster using GIS and to understand its spatial distribution in connection with geosites and geotrails. Two types of spatial database were constructed; geosites and geotrails in Cheongsong UNESCO global geopark and spatial data to perform environmental sensitivity. Potential soil loss and slope stability were analyzed to derive environmental sensitivity related to slope hazard. The results showed relatively high environmental sensitivity along the drainage network of Cheongsong UNESCO global geopark. Zonal statistics analysis was conducted for further detailed distribution of environmental sensitivity based on buffer zones of geosites and geotrails. Majority of geological sites, geological trails, Jeolgol gorge~Jusan Pond section in hiking trails, and Dalgi Mineral Spring Site~Artistic Genius Republic of Korea(Jangnankki gonghwaguk) section in road areas show relatively high slope hazard sensitivity within buffer zones.

아토피 피부염 환자 발병률의 지역적 특성 분석 - 모란지수 방법을 활용하여 - (An Analysis on Characteristics of Spatial Distribution of the Atopic Dermatitis Patients : With an Application of the Moran Indices)

  • 임동표;정환영
    • 한국지역지리학회지
    • /
    • 제21권3호
    • /
    • pp.583-592
    • /
    • 2015
  • 산업화 이후 환경성 질환의 증가가 사회적인 문제로 대두되면서 이들의 지역적 차이와 특성에 대한 관심 또한 높아지고 있다. 본 연구의 목적은 국민건강보험공단 자료를 이용하여 환경성 질환의 지역분포와 지역적 특성을 알아보는 것이다. 본 연구에서는 환경성 질환 중 아토피 피부염을 대상으로 국지모란지수를 이용하여 아토피 피부염 환자의 지역별 군집성 정도와 유형을 분석하였다. 이에 따라 다음과 같은 연구결과를 도출하였다. 첫째, 아토피 피부염 환자의 분포는 지역적으로 차이를 나타내고 있었으며, 일반적 예상과 달리 서울시가 비교적 청정한 지역으로 분류되었다. 둘째, 수도권 지역 중 인천 서구 등 42곳은 아토피 피부염의 핫스팟 지역으로 나타났다. 셋째, 지방 중 단양군 등 39곳은 아토피 피부염의 콜드스팟이 도출되었고, 환경과의 연관성을 추론할 근거가 나타났다. 넷째, 제주시와 서귀포시가 독특하게 아토피 핫스팟 지역으로 나타났다. 이와 같은 아토피 피부염 환자의 지역분포 특성에 대한 분석을 바탕으로 차후 보건지리학 연구가 지속적으로 진행될 필요가 있다고 사료된다.

  • PDF

Analysis of Spatial Distribution of Hypertension Prevalence and Its Related Factors based on the Model of Social Determinants of Health

  • Kim, Min Jung;Park, Nam Hee
    • 지역사회간호학회지
    • /
    • 제29권4호
    • /
    • pp.414-428
    • /
    • 2018
  • Purpose: The purpose of this study is to identify the spatial distribution of hypertension prevalence and to investigate individual and regional-level factors contributing to the prevalence of hypertension in the region. Methods: This study is a cross-sectional research using the 2015 Community Health Survey. Total 64,473 people from 7 metropolitan cities were used for the final analysis. Geoda program was adopted to identify the regional distribution of hypertension prevalence and analyzed by descriptive statistics, one-way ANOVA and correlation analysis using SPSS statistics 23.0 program. Multi-level analysis was performed using SPSS (GLMM). Results: The prevalence of hypertension was related to individual level factors such as age, monthly household income, normal salt intake, walking practice days, and regional level factors including number of doctors per 10,000 population, number of parks, and fast food score. Besides, regional level factors were associated with hypertension prevalencies independently without the effects of individual level factors even though the influences of individual level factors ware larger than those of regional factors. Conclusion: Respectively, both individual and regional level factors should be considered in hypertension intervention programs. Also, a national level research is further required by exploring various environmental factors and those influences relating to the hypertension prevalence.

빈곤계층과 사회복지서비스의 공간적 연계성 (Social Geography of Poverty and Social Welfare Services)

  • 배미애
    • 대한지리학회지
    • /
    • 제42권2호
    • /
    • pp.177-195
    • /
    • 2007
  • 최근 빈곤에 대한 사회지리학적 연구는 빈곤문제를 완화하고 해결하려는 의지를 반영하여 사회복지서비스와의 연계적 측면에서 이루어진다. 빈곤계층의 기본적인 욕구를 충족시키기 위한 다양한 사회복지서비스의 제공에도 불구하고 서비스제공자와 서비스수혜자의 공간적 불일치로 인하여 발생하는 접근성의 문제는 결과적으로 사회복지서비스의 공간적 불평등으로 이어진다. 부산시를 대상으로 빈곤계층과 사회복지서비스의 연계성을 사회지리학적 입장에서 연구한 본 연구의 결론도 이와 같은 사회복지서비스의 공간적 한계에서 크게 벗어나지 못하고 있다. 1980년대 이후 급성장한 사회복지서비스의 양적 증대에도 불구하고 빈곤계층과 사회복지서비스시설간의 입지적 불일치는 상대적으로 복지서비스 공급에 있어서 과잉 및 과소지역을 초래하였다. 복지서비스의 과소공급지역을 중심으로 빈곤계층의 기본적인 욕구를 충족시키고 사회복지서비스의 공간적 불평등을 해결하기 위해서는 빈곤계층의 공간적 수요를 감안한 사회복지서비스시설의 유연적인 입지적 재분배가 요구된다.

THE APPLICATION OF GIS FOR EFFECTIVE DISTRIBUTION OF THE EMERGENCY MEDICAL SERVICE AREA

  • Yang Byung-Yun;Hwang Chul-Sue
    • 대한원격탐사학회:학술대회논문집
    • /
    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
    • /
    • pp.61-64
    • /
    • 2005
  • The purpose of this paper is to take a closer look at an area having shorted emergence facilities and to determine optional candidate sites instead of vulnerable area by using GIS spatial analysis. Newly determined new candidate is performed by concerning spatial efficiency and spatial equity for a public service. It was determined through using the analyzing of the physical accessibility measure, the Location-Allocation, sort of classic model in spatial statistics and general network analysis. The area of this research has been used in administrative boundary of Young-Dong in Gangneung including 13 emergency, medical hospitals, 46 fire-stations and sub-fire stations. In general terms, what all this show is that the way we are approached for geographical view from using GIS spatial analyzing technique of determined location and allocation problem by the social, economical, political factor and simple administrative discrimination at the meantime. At the same time, with problem occurred in the space it is possible to make an Effective proposal or means, policy, decision for new candidate location-allocation suggesting optimum model.

  • PDF

Spatiotemporal Distribution of Gastrointestinal Tract Cancer through GIS over 2007-2012 in Kermanshah-Iran

  • Reshadat, Sohyla;Saeidi, Shahram;Zangeneh, Ali Reza;Khademi, Nahid;Khasi, Keyvan;Ghasemi, SayedRamin;Gilan, Nader Rajabi
    • Asian Pacific Journal of Cancer Prevention
    • /
    • 제16권17호
    • /
    • pp.7737-7742
    • /
    • 2015
  • Background: Cancer is one of the common causes of disability and mortality in the world. The present study aimed to define the spatiotemporal distribution of gastrointestinal tract cancers using a geographic information system (GIS) over the time period of 2007-2012 in Kermanshah-Iran. Materials and Methods: The method of studying was descriptive-analytical as well as comparative with gastrointestinal tract cancer patients based in the City of Kermanshah over the time period covered. For data analysis, the GIS and SPSS 16.0 were applied. Results: According to the pathological reports within the space of 5 years, 283 cases of gastrointestinal tract cancer (157 in males, 156 in females) were reported. The performed tests in terms of spatial distribution in the environment of GIS indicated that the disease demonstrated a clustered pattern in the City of Kermanshah. More to the point, some loci of this disease have emerged in the City of Kermanshah that in the first level, 6 neighborhoods with 29-59 cases of this disease per square kilometer and in the second level, 15-29 cases. Conclusions: Gastrointestinal tract cancer demonstrated an ascending trend within the space of 5 years of research and the spatiotemporal distribution of cancer featured a concentrated and clustered pattern in the City of Kermanshah.

[Retracted]Hot Spot Analysis of Tourist Attractions Based on Stay Point Spatial Clustering

  • Liao, Yifan
    • Journal of Information Processing Systems
    • /
    • 제16권4호
    • /
    • pp.750-759
    • /
    • 2020
  • The wide application of various integrated location-based services (LBS social) and tourism application (app) has generated a large amount of trajectory space data. The trajectory data are used to identify popular tourist attractions with high density of tourists, and they are of great significance to smart service and emergency management of scenic spots. A hot spot analysis method is proposed, based on spatial clustering of trajectory stop points. The DBSCAN algorithm is studied with fast clustering speed, noise processing and clustering of arbitrary shapes in space. The shortage of parameters is manually selected, and an improved method is proposed to adaptively determine parameters based on statistical distribution characteristics of data. DBSCAN clustering analysis and contrast experiments are carried out for three different datasets of artificial synthetic two-dimensional dataset, four-dimensional Iris real dataset and scenic track retention point. The experiment results show that the method can automatically generate reasonable clustering division, and it is superior to traditional algorithms such as DBSCAN and k-means. Finally, based on the spatial clustering results of the trajectory stay points, the Getis-Ord Gi* hotspot analysis and mapping are conducted in ArcGIS software. The hot spots of different tourist attractions are classified according to the analysis results, and the distribution of popular scenic spots is determined with the actual heat of the scenic spots.