Implementation of serverless cloud GIS platform for land valuation

作     者：Muhammed Oguzhan Mete Tahsin Yomralioglu 

作者机构：Geomatics Engineering DepartmentIstanbul Technical UniversityIstanbulTurkey 

出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)

年 卷 期：2021年第14卷第7期

页      面：836-850页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by Scientific Research Projects Coordination Unit of Istanbul TeknikÜniversitesi[Grant No.MYL-2018-41706] 

主　　题：Serverless cloud computing cloud GIS open source GIS real estate valuation value map 

摘      要：Cloud computing enables performing computations and analysis tasks and sharing services in web-based computer centres instead of local desktop *** of the most used areas of cloud computing is geographic information systems(GIS)*** Desktop GIS products are still used in the community frequently,Web GIS and Cloud GIS applications have drawn attention and have become more efficient for *** this study,a serverless Cloud GIS framework is implemented for the land valuation *** order to store,analyse,and share geospatial data,the Aurora Serverless PostgreSQL database is created on Amazon Web Services(AWS).While adopting Aurora Serverless PostgreSQL as a database management system,a simple point in polygon analysis conducted to compare the performances with Amazon Relational Database Service(RDS)*** showed that the serverless database responded to the query faster and scaled up during high workload to decrease ***,parcel vector data,which conveys ownership information and land values attributes,is shared directly from the PostGIS database as vector *** S3 and AWS Lambda services are used for storing and disseminating raster-based land value map *** visualize all shared data and maps through a web browser,open source web mapping library Mapbox GL JS is used.