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
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Keywords
Google Maps ; Mypoint.app ; Marker Clusterer library ; Marker clustering ; Heatmap ; Laravel frameworkAbstract
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.