Μελέτη, σχεδιασμός και υλοποίηση διαδικτυακής εφαρμογής καταχώρησης, διαχείρισης και ομαδοποίησης χωρικών δεδομένων σε Google Maps
Research, design and implementation of a web application for the storage, management and clustering of geo data on Google Maps
Δουκίδου, Μαρία Π.
KeywordsGoogle Maps ; Mypoint.app ; Marker Clusterer library ; Marker clustering ; Heatmap ; Laravel framework
The aim of the current master thesis is to study, design and develop a web application, which could collect large volumes of spatial data and group them, in order to visualize them on Google maps. In particular, the «mypoint.app» application enables each individual user to create and / or import his points on Google Maps as well as to define a value that will represent the meaning of that point. The ultimate goal is for the application to display a large number of points on the map at any zoom level by grouping them in clusters using the Marker Clustering technique. The study and design of such an application aims to attract the reader's interest by displaying the multiple capabilities that now offer technologies such as map clustering and heatmap to optimize the management of large volumes of spatial data. Open source tools were used to develop the application, as well as the markerclusterer.js and heatmap.js libraries from the GMaps Utility Library. Finally, the application has a full response mode.