Suchergebnisse

Nowadays, the increasing pressure over water resources is reflecting on the water quality all over the globe. Not surprisingly, local, and regional governments are taking initiatives into tackling this issue. However, the management of water resources requires coordinated management by the stakeholders, especially in cross-border regions, to achieve efficient regulations. Then, the data-sharing for monitoring the water resources is fundamental for the stakeholder participation in the process of knowledge building. This work presents the design and implementation of a collaborative web platform aiming at enhancing these processes applied to share water quality parameters maps produced under the framework of the SIMILE (Integrated monitoring system for knowledge, protection and valorisation of the subalpine lakes and their ecosystems) project. The platform takes advantage of open-source infrastructure and standards. The solution provides two web-based applications devoted to the upload/management (customized GeoNode) of the data and its visualization (WebGIS). The scope of the collaborative platform is to improve the access to information for awareness-building on the water resources in the Insubric area.

Nowadays, the increasing pressure over water resources is reflecting on the water quality all over the globe. Not surprisingly, local, and regional governments are taking initiatives into tackling this issue. However, the management of water resources requires coordinated management by the stakeholders, especially in cross-border regions, to achieve efficient regulations. Then, the data-sharing for monitoring the water resources is fundamental for the stakeholder participation in the process of knowledge building. This work presents the design and implementation of a collaborative web platform aiming at enhancing these processes applied to share water quality parameters maps produced under the framework of the SIMILE (Integrated monitoring system for knowledge, protection and valorisation of the subalpine lakes and their ecosystems) project. The platform takes advantage of open-source infrastructure and standards. The solution provides two web-based applications devoted to the upload/management (customized GeoNode) of the data and its visualization (WebGIS). The scope of the collaborative platform is to improve the access to information for awareness-building on the water resources in the Insubric area.

Nowadays, the increasing pressure over water resources is reflecting on the water quality all over the globe. Not surprisingly, local, and regional governments are taking initiatives into tackling this issue. However, the management of water resources requires coordinated management by the stakeholders, especially in cross-border regions, to achieve efficient regulations. Then, the data-sharing for monitoring the water resources is fundamental for the stakeholder participation in the process of knowledge building. This work presents the design and implementation of a collaborative web platform aiming at enhancing these processes applied to share water quality parameters maps produced under the framework of the SIMILE (Integrated monitoring system for knowledge, protection and valorisation of the subalpine lakes and their ecosystems) project. The platform takes advantage of open-source infrastructure and standards. The solution provides two web-based applications devoted to the upload/management (customized GeoNode) of the data and its visualization (WebGIS). The scope of the collaborative platform is to improve the access to information for awareness-building on the water resources in the Insubric area.

Open Data, and Open Government Data, are proving to be an important resource for the economic development inside the domain where information has a key role (Carrara et al., 2015). Although, different practices for data publishing have led to misalignment, underuse and repetition of information (Bizer et al., 2011). For this reason, the Public Administrations have undergone efforts on integrating the information and promoting interoperability through the implementation of best practices, as for example, the use of a common semantics vocabulary for the metadata (DCAT) as proposed by the ISA2 programme of the European Commission. The Interreg Italy-Switzerland GIOCOnDA project has been proposed for enhancing the data sharing processes in the cross-border area, particularly addressing tourism and mobility that are key economic activities for the region. For this work, a review on the data catalogues published in dati.lombardia.it and opendata.swiss is presented. The revision of the datasets showed the need for: 1) defining common semantics for the description of the categories of data to avoid the arbitrary use of vocabularies, and 2) adopting standards for the description of geodata. On the other hand, it was observed the potential to gather existing information to produce geodata querying the datasets with specific keywords that can provide spatial information. Open data, as well as the use of best practices for publishing data, push towards the use of FOSS. In this work, Python has been exploited to analyse the content of the catalogues to access web portals resources.

Open Data, and Open Government Data, are proving to be an important resource for the economic development inside the domain where information has a key role (Carrara et al., 2015). Although, different practices for data publishing have led to misalignment, underuse and repetition of information (Bizer et al., 2011). For this reason, the Public Administrations have undergone efforts on integrating the information and promoting interoperability through the implementation of best practices, as for example, the use of a common semantics vocabulary for the metadata (DCAT) as proposed by the ISA2 programme of the European Commission. The Interreg Italy-Switzerland GIOCOnDA project has been proposed for enhancing the data sharing processes in the cross-border area, particularly addressing tourism and mobility that are key economic activities for the region. For this work, a review on the data catalogues published in dati.lombardia.it and opendata.swiss is presented. The revision of the datasets showed the need for: 1) defining common semantics for the description of the categories of data to avoid the arbitrary use of vocabularies, and 2) adopting standards for the description of geodata. On the other hand, it was observed the potential to gather existing information to produce geodata querying the datasets with specific keywords that can provide spatial information. Open data, as well as the use of best practices for publishing data, push towards the use of FOSS. In this work, Python has been exploited to analyse the content of the catalogues to access web portals resources.

Riassunto Il sistema di riferimento altimetrico ufficiale italiano è definito attraverso una rete di livellazione geometrica materializzata e periodicamente rilevata dall'Istituto Geografico Militare (IGM). Le quote dinamiche, ortometriche e normali dei capisaldi di una rete di livellazione si ottengono dalla compensazione ai minimi quadrati dei dislivelli geometrici osservati, opportunamente corretti per gli effetti di gravità. Il Politecnico di Milano (POLIMI), nell'ambito di una convenzione con l'IGM, sta effettuando il calcolo delle correzioni (dinamiche, ortometriche e normali) da apportare alle nuove osservazioni di livellazione eseguite nel contempo dall'IGM sull'intero territorio nazionale per l'aggiornamento del sistema di altezze italiano. I valori di gravità necessari al calcolo delle correzioni sono ricavati dal database utilizzato per il nuovo Geoide Italiano. Il Servizio Catasto della Provincia Autonoma di Trento in accordo con IGM e POLIMI partecipa all'acquisizione delle osservazioni della sotto-rete trentina e al successivo calcolo delle relative correzioni. Lo stato dell'arte nella definizione del sistema di riferimento delle altezze, con richiami sul calcolo delle correzioni gravimetriche classiche e su una nuova formulazione sviluppata di recente nell'ambito della teoria di Molodensky costituiscono l'oggetto della presente comunicazione insieme ai risultati preliminari ottenuti sui dati del Trentino. ; Abstract The official italian height system is defined through a spirit leveling network periodically surveyed by the Istituto Geografico Militare (IGM). Dynamic, orthometric and normal heights of the network benchmarks are obtained form the least squares adjustment of the observed height differences, properly corrected for the gravity effects. In agreement with IGM, the Politecnico di Milano (POLIMI) is computing the corrections (dynamic, orthometric and normal) for the new spirit leveling observations, carried out in the meanwhile by the IGM to update the italian height datum. The gravity observations needed to evaluate the corrections are obtained from the same database used for the Italian Geoid. The Cadastral service of Provincia Autonoma di Trento in agreement with IGM and POLIMI is involved in the observation collection of the Trentino sub network as well as in the connected correction computation. The presentation is about the state of the art in the definition of the italian height datum and a short review on the gravity correction formulas as well as on a new formulation of the normal correction term in the framework of Molodensky's theory. Preliminary results on the Trentino sub network will be presented as well.