Integration of Anthropological Surveying Tools, Walking Maps with the Geographic Information System to develop the Historical Map of Pak Phraek Community, Muang District, Kanchanaburi

Abstract

The objectives of this research is to survey and collect the data for Pak Phraek Community historical sites and to create the historical maps of Pak Phraek Community, Kanchanaburi Province. The population and key informants included; villagers, philosopher of the Pak Phraek Community, 3 historical scholars, and the government agencies. There are four steps of data collection which are; Community Coordination, Observation and Survey, Interviews and Lesson Learned. This research used the geo-informatics concept, Participatory Geographic Information System concept (PGIS), and the walking map concept as the main concepts for this study. The research results are as follows:
(1) the surveyed data for the historical map making of Pak Phraek Community has concluded two issues as follows; the first issue, Pak Phraek community economy map, from the walking map to the completed map and importing into the geographic information system (GIS), found that there were 97 stores with 22 types of shops. The second issue, the map of Pak Phraek community historical houses/sites from the walking map surveying, to the complete map and imported into the geographic information system (GIS), found that there are 40 learning resources. (2) The historical map making of Pak Phraek Community implemented the geographic information system in the production and development of the Pak Phraek Community map which included; field work, data input, data edit, data management, data manipulation, data analysis and data display. In this way, the Participatory Geographic Information System (PGIS) concept has been adopted to be one of the work processes by free program software, for mapping. The results show that the information obtained from the PGIS process, the community and researchers were able to create a new map obtained from real/living information and to create community ownership of the data.