  There is a lot of data about mean sea level variation from studies conducted
around the globe. This data is dispersed, lacks organization along with
standardization, and in most cases, it is not available online. In some
instances, when it is available, it is often in unpractical ways and different
formats. Analyzing it would be inefficient and very time-consuming. In addition
to all of that, to successfully process spatial-temporal data, the user has to
be equipped with particular skills and tools used for geographic data like
PostGIS, PostgreSQL and GeoAlchemy. The presented solution is to develop a web
application that solves some of the issues faced by researchers. The web
application allows the user to add data, be it through forms in a browser or
automated with the help of an API. The application also assists with data
querying, processing and visualization by making tables, showing maps and
drawing graphs. Comparing data points from different areas and publications is
also made possible. The implemented web application permits the query and
storage of spatial-temporal data about mean sea level variation in a
simplified, easily accessible and user-friendly manner. It will also allow the
realization of more global studies.
