12
27 3S Using 3S in the Analysis of Potential Tourism Hazards : A Prediction Model To Avoid Vespa Basalis in Recreation Areas * Tz-Yauw Lin GISGPS RS 3S (Geographic Information System GIS) GIS (Spatial Distribution) (Global Position System GPS) (Remote Sensing RS) (Neural Network) * Instructor of Department of Hospitality Management, Diwan College of Management. Ph. D. Candidate, Department of Geography, Chinese Culture University. 27-38 (2006) JOURNAL OF TAIWAN GEOGRAPHIC INFORMATION SCIENCE (4) : 27-38 (2006)

3S¾¿ ˆj ˝2GIS ž‚ À‚„˛`´ ˛ ˆ˜¯#L˚ ˆj (Denshem and Goodchild, 1989) ƒN ˝2ˇˆˆj_ O[t ¾¿7˘ ˝2 ¥ (L.A. Zadeh) ˙¨4d6‚−É˚ (Fuzzy Logic) (ZADEH, 1976)

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Page 1: 3S¾¿ ˆj ˝2GIS ž‚ À‚„˛`´ ˛ ˆ˜¯#L˚ ˆj (Denshem and Goodchild, 1989) ƒN ˝2ˇˆˆj_ O[t ¾¿7˘ ˝2 ¥ (L.A. Zadeh) ˙¨4d6‚−É˚ (Fuzzy Logic) (ZADEH, 1976)

27

3S ���������—

�� �����������

Using 3S in the Analysis of Potential Tourism Hazards :

A Prediction Model To Avoid Vespa Basalis in Recreation Areas

���*�

Tz-Yauw Lin

���� ����

GIS�GPS� RS�� 3S����� (Geographic Information System��� GIS) ��

��������������������� !"#$%�&'()*+,�-./012

3�GIS 456���7 (Spatial Distribution) ��8�9:���;$�<=>?@A�

(Global Position System��� GPS) �B�CD3E8FGHI�JK�LMH (Remote

Sensing��� RS) NOEPQRST>?#U &V��WEXYZH[�\H]^�=_�

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0�$���¤¥¦§cB���L¢£���¨9N&e�jpq/0|3�©$�ª«j¬

�S%a%t­®WE¯ Y°nC ±��g²³´µ (Neural Network) ¶·�H¸¹���

º»)H���9:+{|�$45��¼½�H 8�¾¿�H��À�+xÁ£µÂ¶Ã�

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���������� �������������������

* ������������ ����������������

Instructor of Department of Hospitality Management, Diwan College of Management. Ph. D. Candidate, Department of Geography,

Chinese Culture University.

�������� ��27-38 (2006) JOURNAL OF TAIWAN GEOGRAPHIC INFORMATION SCIENCE (4) : 27-38 (2006)

Page 2: 3S¾¿ ˆj ˝2GIS ž‚ À‚„˛`´ ˛ ˆ˜¯#L˚ ˆj (Denshem and Goodchild, 1989) ƒN ˝2ˇˆˆj_ O[t ¾¿7˘ ˝2 ¥ (L.A. Zadeh) ˙¨4d6‚−É˚ (Fuzzy Logic) (ZADEH, 1976)

28

���

GPS GIS

�����

��

Abstract

To sum up, GIS, GPS and RS are three types of information systems that have major application for

the field of recreation hazard prediction. The functions of Geographic Information Systems (GIS) are

storage, retrieval, analysis, and exhibition of spatial data. GIS allows the exhibition of spatial

distributions and analysis that is extremely helpful in researching the tourism and recreation industries.

Global Position Systems (GPS) can find the coordinates of locations that need to be studied. Remote

sensing (RS) uses several kinds of sensors in airplanes and satellites to capture images of the earth. RS

also provides us with information about many large ground areas.

Using 3S, is different from manual recording, as this strategy can collect and analyze data

effectively and quickly in the research of recreation area. It is especially useful in large area research as

it can save manpower and resources. This article uses 3S and Neural Networks to build a prediction

model. The model can provide a risk-forecasting map and give suggestions to tourists about the walking

paths they should follow according to the result of predictions. The prediction model is extremely

helpful in avoiding tourism hazards and increasing tourist safety.

Keywords: GIS, GPS, Remote Sensing, Recreation Hazard Prediction, Neural Network.

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Page 3: 3S¾¿ ˆj ˝2GIS ž‚ À‚„˛`´ ˛ ˆ˜¯#L˚ ˆj (Denshem and Goodchild, 1989) ƒN ˝2ˇˆˆj_ O[t ¾¿7˘ ˝2 ¥ (L.A. Zadeh) ˙¨4d6‚−É˚ (Fuzzy Logic) (ZADEH, 1976)

29

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Page 4: 3S¾¿ ˆj ˝2GIS ž‚ À‚„˛`´ ˛ ˆ˜¯#L˚ ˆj (Denshem and Goodchild, 1989) ƒN ˝2ˇˆˆj_ O[t ¾¿7˘ ˝2 ¥ (L.A. Zadeh) ˙¨4d6‚−É˚ (Fuzzy Logic) (ZADEH, 1976)

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