Spatial Data Infrastructure (SDI) is an important concept for sharing spatial data across the web. With cumulative techniques with spatial cloud computing and fog computing, SDI has the greater potential and has been emerged as a tool for processing, analysis and transmission of spatial data. The Fog computing is a paradigm where Fog devices help to increase throughput and reduce latency at the...

We conducted a study to find out whether and why South African users accepted QGIS. In the quantitative part of study, we found that QGIS acceptance is primarily influenced by habit, followed facilitating conditions, price value, social influence. To better understand explain these results, qualitative in which semi-structured interviews were with 12 geospatial practitioners. While geographic i...

Abstract. Earth observation analysis workflows commonly require mass processing of time series data, with data volumes easily exceeding terabyte magnitude, even for relatively small areas interest. Cloud platforms such as Google Engine (GEE) leverage accessibility to satellite image archives and thus facilitate workflows. Instant visualization integration local sources is, however, currently no...

The paper describes a case study on the design of district energy infrastructure for green-field project Vale de Santo António (Lisbon, Portugal). methodology is based novel framework built sequential integration three software tools: QGIS, City Energy Analyst (CEA) and Urbio. QGIS used to define building database (construction solutions, uses schedules); CEA model neighborhood services (heatin...

This paper presents the validation of End Point Rate (EPR) tool for QGIS (EPR4Q), a built-in graphical modeler calculating shoreline change with end point rate method. The EPR4Q tries to fill gaps in user-friendly and free open-source tools analysis geographic information system environment since most used software—Digital Shoreline Analysis System (DSAS)—although being extension, it is created...