Pesca Pubblicazione scientifica Measuring Contribution of Spatial Information to Environmental Research Using Text Mining Techniques FILONE TECNOLOGICO TEMA economia circolare e sostenibilità RIASSUNTO This study aimed to quantitatively analyze the trends of environmental research that utilizes environmental spatial information using a text mining technique. The analysis was conducted on a total of 869 papers published in Korea based on 20 environmental spatial information areas, and the results showed that 1) “general environment (40.85%)” and “satellite image (24.87%)” had the highest frequency levels among the environmental spatial information areas, and 2) a total of 80 relevance rules were generated on environmental spatial information, indicating that “general environment” generated the highest number of correlation rules (17) with environmental spatial information such as “satellite image” and “digital map.” DATA Data di pubblicazione: 01/07/2018 AUTORI JEONGHO LEE MOUNG-JIN LEE ENTE DI AFFERENZA KOREA ENVIRONMENT INST KEI SEJONG REPUBLIC OF KOREA RIVISTA IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium (Page(s): 5289-5291)