• 제목/요약/키워드: 지리 학습

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The Spatio-Temporal Characteristics of Primary School Children's Daily Life Activities (초등학생 일상생활활동의 시.공간적 특성)

  • Park, Soon-Ho
    • Journal of the Korean association of regional geographers
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    • v.8 no.4
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    • pp.492-512
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    • 2002
  • The daily life activities of primary school children have been increasingly diversified. This research examined the spatio-temporal characteristics of primary school children's daily life activities. The time allocation of primary school children's daily activities was monotonous. They tended to spend most of their time in school activities, private lessons after school, and studying at home. The daily trip to school has been diversified as the result the of increase in the number of double-income families, car owners, facilities for pastime, and educational facilities for private lessons after school. The selection of educational facilities for private lessons was strongly influenced by accessibility to the residence because of the limited time budget of primary school children and the controlled trip behavior by parents. The leisure activities were considered as a minor function and took place in the interval of performances of study-related activities. The high proportion of leisure activities was found in the indoor play. The amount of the time for leisure activity was very insufficient. The spatial range and time budget were strongly influenced by the institutional conditions of parents.

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The Innovation Milieu of Red Pepper Agro-Industry District in Bonghwa County : A Cluster Perspective (지역 농산업산지의 혁신환경과 클러스터 육성전략 : 봉화군 고추농산업 사례)

  • Lee, Jong-Ho
    • Journal of the Korean association of regional geographers
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    • v.11 no.2
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    • pp.233-246
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    • 2005
  • This paper aims to explore the innovation milieu of red-pepper agro-industry in Bonghwa County, in the northern part of Gyeongbuk Province, and suggest policy recommendations for bringing up local agro-industry from a cluster perspective. It turns out that the capabilities of Bonghwa red-pepper agro-industry to innovate are remarkably weak let alone soft infrastructures such as learning networks between innovation agents and social capital. In this sense Bonghwa red-pepper agro-industry can be viewed as an agricultural area simply specialized in production sector rather than a kind of agro-industry cluster. For moving up Bonghwa red pepper industry into an innovative cluster, the paper suggests that the policy makers need to focus on cultivating local learning communities, building a region-wide incorporated brand, promoting the local agricultural technology centre as a network hub of cluster and fostering the functional links between universities and local innovation agents, covering farmers, agricultural organizations, agro-food producers and the local government.

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Investigation into the Future Direction of Multicultural Education to Decrease Bias against Multicultural Students: A Case Study of Kwangju.Jeonnam Region (다문화 가정 학생 편견 감소를 위한 다문화교육 방향성 모색 -광주.전남지역을 사례로 -)

  • Hong, Ki-Dae
    • Journal of the Korean association of regional geographers
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    • v.17 no.4
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    • pp.381-394
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    • 2011
  • In Korea, the number of foreigners reached about 1,260,000. So we are now living in a multicultural society. There are more than 36,000 multicultural students in kindergarten, elementary, middle, and high school(2010's standards). In other words, Still more multicultural students are expected to increase in the future. As a matter of fact, one of the biggest problems which mixed couples and immigrants from other countries have had is most concerned about possible bias and discrimination of their children. Study has shown that multicultural students are alienated from the others at school, because of their skin colours, the pronunciation they speak Korean, and maladjustment in their school life. Actually, multi-cultural education program should be applied to the first grade in elementary school. Besides, teachers have to direct multicultural and general students with integrated education. Study also found that it is necessary to use more visuals and pictures as the main multi-cultural education. And books and CDs should be used as guide materials. It's desirable that the appropriate time to teach relate to lesson.

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Geo-tourism : A Practical Application to Mt. Apsan in Daegu (지오 투어리즘(Geo-tourism)을 위한 대구 앞산 활용방안)

  • Jeon, Young-Gweon
    • Journal of the Korean association of regional geographers
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    • v.11 no.6
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    • pp.517-529
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    • 2005
  • Mt. Apsan is well known to be one of the most popular tourist sites around Daegu. Annually, more than 16 million persons visit Mt. Apsan. Although, in the mountain there are varieties of geomorphic and geological resources, there has been less concern to utilize the resources for geo-tourism. For example, there are about 10 valleys within Mt. Apsan and various landforms are scattered around the valleys. In this context, this study, based on field surveys centering around Gosangol valley, Anjiranggol valley and Dalbigol valley, focuses on exploring ways towards developing Mt. Apsan as an example geo-tourist site. The main findings are as follows: 1) The main landforms of Mt. Apsan include river cliff, cavern, free face, mud crack, ripple mark, fold, sheeting joint, talus, alluvial fan, pot hole, fault line, gnamma, columnar joint and metamorphic rock. 2) The guide notes on the landforms are developed. 3) In order to raise a learning effect of visitors on geomorphic resources, 9 nature trails are designed according to valleys and the length of visitor's stay.

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Estimation of Spatial Distribution of Soil Moisture at Yongdam Dam Watershed Using Artificial Neural Networks (인공신경망을 이용한 용담댐 유역 공간 토양수분 분포도 산정)

  • Park, Jung-A;Kim, Gwang-Seob
    • Journal of the Korean Geographical Society
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    • v.46 no.3
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    • pp.319-330
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    • 2011
  • In this study, a soil moisture estimation model was proposed using the ground observation data of soil moisture, precipitation, surface temperature, MODIS NDVI and artificial neural networks. The model was calibrated and verified on the Yongdam dam watershed which has reliable ground soil moisture networks. The test statistics of calibration sites, Jucheon, Bugui, Sangjeon, showed that the correlation coefficients between observations and estimations are about 0.9353 and RMSE is about 1.4957%. Also that of the verification site, Cheoncheon2, showed that the correlation coefficient is about 0.8215 and RMSE is about 4.2077%. The soil moisture estimation model was applied to estimate the spatial distribution of soil moisture in the Yongdam dam watershed and results showed improved spatial soil moisture distribution since the model used satellite information of NDVI and artificial neural networks which can represent the nonlinear relationships between data well. The model should be useful to estimate wide range soil moisture information.

A Study on the Index Estimation of Missing Real Estate Transaction Cases Using Machine Learning (머신러닝을 활용한 결측 부동산 매매 지수의 추정에 대한 연구)

  • Kim, Kyung-Min;Kim, Kyuseok;Nam, Daisik
    • Journal of the Economic Geographical Society of Korea
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    • v.25 no.1
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    • pp.171-181
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    • 2022
  • The real estate price index plays key roles as quantitative data in real estate market analysis. International organizations including OECD publish the real estate price indexes by country, and the Korea Real Estate Board announces metropolitan-level and municipal-level indexes. However, when the index is set on the smaller spatial unit level than metropolitan and municipal-level, problems occur: missing values. As the spatial scope is narrowed down, there are cases where there are few or no transactions depending on the unit period, which lead index calculation difficult or even impossible. This study suggests a supervised learning-based machine learning model to compensate for missing values that may occur due to no transaction in a specific range and period. The models proposed in our research verify the accuracy of predicting the existing values and missing values.

The application of photographs resources for constructive social studies (구성주의적 사회과 교육을 위한 사진자료 활용방안)

  • Lee, Ki-Bok;Hwang, Hong-Seop
    • Journal of the Korean association of regional geographers
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    • v.6 no.3
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    • pp.117-138
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    • 2000
  • This study is, from the view point of constructive social studies which is the foundation of the 7th curriculum, to explore whether there is any viable program and to investigate it by which students, using photo resources in social studies, can organize their knowledge in the way of self-directed thinking. The main results are as follows: If it is a principle of knowledge construction process of constructive social studies that individual construction (cognitive construction) develops into communal construction(social construction) and yet communal construction develops itself, interacting with individual construction, it will be meet the objectives of social studies. In social studies, photos are a powerful communication tool. communicating with photos enables to invoke not only the visual aspects but also invisible aspects of social phenomena from photos. It, therefore, can help develop thinking power through inquiry learning, which is one of the emphasis of the 7th curriculum. Having analyzed photo resources appeared on the regional textbooks in elementary social studies, they have been appeared that even though the importance and amount of space photo resources occupy per page is big with regard to total resources, most of the photos failed to lad to self-directed thinking but just assistant material in stead. Besides, there appeared some problems with the title, variety, size, position, tone of color, visibility of the photos, and further with the combination of the photos. Developing of photo resources for constructive social studies is to overcome some problems inherent in current text books and to reflect the theoretical background of the 7th curriculum. To develop the sort of photo that can realize the point just mentioned, it would be highly preferable to provide photo database to facilitate study with homepage through web-based interaction. To take advantage of constructive photo resources, the instruction is strategized in four stages, intuition, conflict, accommodation, and equilibration stage. With the advancement of the era of image culture, curriculum developers are required to develop dynamic, multidimensional digital photos rather than static photos when develop text books.

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The theory of lesson plannig and the instructional structuration : A case study for urban units in Japanese high school (수업설계론과 수업구조화 - 일본 고등학교 도시단원을 사례로 -)

  • ;Sim, Kwang Taek
    • Journal of the Korean Geographical Society
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    • v.29 no.2
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    • pp.166-182
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    • 1994
  • Kyonggi Province in the late Chosun dynasty was a center of superior government offices including 'Han' River water-road transportation and was located in the middle of an 'X'-shaped arterial road network. Because of these reasons, Kyonggi Province had a faster inflow of commodities, informations and technics compared with the other province. At this period of time, every local 'Eup' (name of administrative district) had not been affected by their above administrative districts and had their own autonomy. For this reason, every 'Eup' could be developed as a town, even if its size was small when it had sufficient internal growing conditions. Moreover, the markets ('Si-Jon') in big towns and periodical markets which were spread over the Kyonggi Province played role of commercial functions of town. And because military bases for the defence of the royal capital in Kyonggi Province also took parts of a non-agricultural city role, Xyonggi Provinc had much more possibilities of growing as a town rather than the other provinces. The towns of the late Chosun Dynasty were, except the capital and superior administrative districts which were governed by the 'You-Su', small towns which had only about 3, 000-5, 000 people. Most of the town dewellers were local officials, nobles, merchants, craftmen and slaves. And the farmers who lived near town became a pseudo-towner through suburb agriculture. Among these people, the merchants were leaders of townization. The downtowns were affected by the landform and traffic roads. The most fundamental function of towns were administrative. The opcial's grade, which was dispatched to the local administrative district ('Kun' or 'Hyun'), was decided by the size of population and agricultural land of each county. Large county which was governed by a high ranking opcial had more possibilities to develop as a large town. Because they supervised other opcials of lower rank and obtained more land and population for the town. The phonomena of farm abandonment after the Japanese Invasion of Korea in 1592-1598 stimulated the development of towns for commercial function. The commercial functions of towns were evident in the Si-Jon or Nan-Jon (names of markets) in the big cities such as Hansung and Kaesung, meanffwhile in the local areas it was emerged in the shape of periodical market networks as allied with near markets (which were called as Jang-Si) or permanent markets which were grown up from periodical markets. These facts of commercial development induced the birth of commercial town. Kyonggi Province showed the weak points of its defense system during both wars (Japanese Invasion in 1592 and Manchu's Invasion in 1636). The government reinforced its defense system by adding 4 'You-Su-Bus' and several military bases. Each local districts ('Eup'), where Geo-Jins were established, were stimulated to be a town while Jin-Kwan system were, adjusted and enforced. Among Dok-Jins(name of solitary military bases), Youngjongjin was grown up as a large garrison town which only played a role of defense. The number of towns that took roles of non-agricultural functions in Kyonggi Province was 52. Among these towns, 29 were developed as big towns which had above 3, 000 people and most of these towns were located on the northwest-southeast axes of 'X'-shaped arterial trafic network in the Chosn Dynasty, This fact points out that the traffic road is one of the important causes of the development of towns. When we make hierarchy of the towns of Kyonggi Province according to its population and how many functions it had, we can make it as 6 grades. The virst grade town 'Hansung' was the biggest central town of administration, commerce and defdnse. The 2nd grade town includes 'Kaesung' which had historical inertia that it had been the capital of the Koryo Dynesty. The 3rd grade towns include some 'You- Su-Bus' such as Soowon, Kanghwa, Kwangju and also include Mapo, Yongsan and from this we can imagine that the commercial development in the late Chosun Dynasty extremely affected the townization. The 4th-6th grade towns had smiliar population but it can be discriminated by how many town functions it had. So the 4th grade towns were the core of administration, commerce and defense function. 5th grade towns had administrative functions and one of commercial and defense functions. 6th grade towns had only one of these functions. When we research and town conditions of each grades as the ratio of non-agricultural population, we can find out that the towns from the 1st grade to 4th grade show difference by degree of townization but from the 4th grade to 6th grade towns do not show big difference in general.

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Predicting Crime Risky Area Using Machine Learning (머신러닝기반 범죄발생 위험지역 예측)

  • HEO, Sun-Young;KIM, Ju-Young;MOON, Tae-Heon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.21 no.4
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    • pp.64-80
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    • 2018
  • In Korea, citizens can only know general information about crime. Thus it is difficult to know how much they are exposed to crime. If the police can predict the crime risky area, it will be possible to cope with the crime efficiently even though insufficient police and enforcement resources. However, there is no prediction system in Korea and the related researches are very much poor. From these backgrounds, the final goal of this study is to develop an automated crime prediction system. However, for the first step, we build a big data set which consists of local real crime information and urban physical or non-physical data. Then, we developed a crime prediction model through machine learning method. Finally, we assumed several possible scenarios and calculated the probability of crime and visualized the results in a map so as to increase the people's understanding. Among the factors affecting the crime occurrence revealed in previous and case studies, data was processed in the form of a big data for machine learning: real crime information, weather information (temperature, rainfall, wind speed, humidity, sunshine, insolation, snowfall, cloud cover) and local information (average building coverage, average floor area ratio, average building height, number of buildings, average appraised land value, average area of residential building, average number of ground floor). Among the supervised machine learning algorithms, the decision tree model, the random forest model, and the SVM model, which are known to be powerful and accurate in various fields were utilized to construct crime prevention model. As a result, decision tree model with the lowest RMSE was selected as an optimal prediction model. Based on this model, several scenarios were set for theft and violence cases which are the most frequent in the case city J, and the probability of crime was estimated by $250{\times}250m$ grid. As a result, we could find that the high crime risky area is occurring in three patterns in case city J. The probability of crime was divided into three classes and visualized in map by $250{\times}250m$ grid. Finally, we could develop a crime prediction model using machine learning algorithm and visualized the crime risky areas in a map which can recalculate the model and visualize the result simultaneously as time and urban conditions change.

Point Symbols on Tourist Maps: Cognitive Characteristics with Levels of Symbolization and Preference (관광지도 점기호의 상징수준과 선호도에 나타난 인지특성 연구)

  • Shim, Hye-Kyoung;Jung, In-Chul
    • Journal of the Korean Geographical Society
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    • v.43 no.6
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    • pp.981-1001
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    • 2008
  • This research deals with cognitive characteristics of point symbols on the current tourist maps in terms of the communication theory in considering levels of symbolization and those of preference. The levels of symbolization are examined on the basis of the meaning of point symbols between map-makers and map-users. Preferences of point symbols are investigated by the tourist objects. As a result, when point symbols are expressed in conciseness, the meaning and interpretation about those symbols are highly accorded. And the point symbols that have familiarity by visual experience are preferred. Also, the higher symbolical levels symbols have, the more likely they are preferred. Through that fact, familiarity from the visual experience, conciseness in expression, concreteness of figures expressed in maps, and representativeness of visualized properties were deduced as factors that affect preferences. Those factors work to affect preference complicatedly, but familiarity is prior to simplicity in preferences. Likewise, ways that visualize information, contents that are expressed as images and familiarity in terms of cognitive characteristics make a relative difference in preferences and the levels of symbolization. On the basis of those cognitive characteristics, visual complexity and ambiguity should be removed and the higher symbolical level of point symbols for efficiency of map-reading should be developed.