For the Institute of Ecosystem Study (ISE), the challenge now is to produce, collect, analyze and share ecological data in an interoperative, automatic (real time) and standardized way. This will be the only way to be in sync with the main current SDI (Spatial Data Infrastructure) initiatives, and in Lake Maggiore case, especially with ongoing projects like EnvEurope and more specifically E-LTER (European Long Term Ecosystem Research) network. In order to achieve this goal, the present work aimed to determine the geospatial web services that fit better the ecological data produce at ISE, taking into account previous experiences in geospatial web services and using as a case study the ecological data coming from the drainage basin of Lake Maggiore. In order to determine this, a SOS test implementation was done using two different SOS (Sensor Observation Service) packages: 52°North Sensor Observation Service and istSOS (Istituto Scienze della Terra Sensor Observation Service). As result of the test implementation some conclusions were drawed for Limnological data, web services and SOS implementation. As geospatial web service, this work concluded that 1) due to its characteristics WFS (Web Feature Service) and SOS are the most adequate services to use for limnological data sharing, and choosing between them will depend on the particular needs of the researchers communities 2) Between the two of them SOS has the adequate components to represent observations. Regarding the characteristic of Limnological data, this work concluded that 3) Limnological data can be considered observational data, because is produced by an action whose result is an estimate of the value of some property of the feature-of-interest, at a specific point in time, obtained using a specified procedure; 4)with the particularity that in one time instant the property values can be as many as the number of species that are in the water at that moment, this is the reason why Limnological data can not be optimally mapped in SOS specification. On the topic of the best server software to be used for implementing such a SOS, this work concluded: 1) In the test implementation of the two servers, for a defined user case data, there was not much difference in service installation, population of data base and performance. 2)However, taking into account the software comparison described before, the best software in terms of functionalities would be 52°North. In order to determine this, a SOS test implementation was done using two different SOS (Sensor Observation Service) packages: 52°North Sensor Observation Service and istSOS (Istituto Scienze della Terra Sensor Observation Service). As result of the test implementation some conclusions were achieved for Limnological data, web services and SOS implementation. As geospatial web service, this work concluded that 1) due to its characteristics WFS (Web Feature Service) and SOS are the most adequate services to use for limnological data sharing, and choosing between them will depend on the particular needs of the researchers communities 2) Between the two of them SOS has the adequate components to represent observations. Regarding the characteristic of Limnological data, this work concluded that 3) Limnological data can be considered observational data, because is produced by an action whose result is an estimate of the value of some property of the feature-of-interest, at a specific point in time, obtained using a specified procedure; 4)with the particularity that in one time instant the property value can be as many as the number of species that are in the water at that moment , and this is the reason why Limnological data can not be optimally mapped in SOS specification. On the topic of the best server software to be used for implementing such a SOS, this work concluded: 1) In the test implementation of the two servers, there was not much difference in service installation, population of data base and performance was found for the defined user case data. 2)However, taking into account the software comparison described before, the best software in terms of functionalities would be 52°North.
Per l’Istituto per lo Studio degli Ecosistemi (ISE), la sfida è ora quella di produrre, raccogliere, analizzare e condividere dati ecologici in un modo interoperativo, automatico (in tempo reale) e standard. Questo sarà l'unico modo per essere in sincronia con le principali iniziative SDI (Spatial Data Infrastructure) e, nel caso del lago Maggiore, in particolare con progetti in corso come EnvEurope e più specificamente della rete E-LTER (European Long Term Ecosystem Research) . Per raggiungere questo obiettivo, il presente lavoro è volto a determinare i geoservizi web più adatti per i dati ecologici prodotti all’ISE, tenendo conto delle precedenti esperienze nel settore dei geoservizi web e utilizzando come caso di studio i dati ecologici provenienti dal bacino idrografico del Lago Maggiore. Per determinare tali geoservizi, è stata fatta un’implementazione di test SOS (Service Sensor Observation) utilizzando due differenti pacchetti: 52°North Sensor Observation Service and istSOS (Istituto Scienze della Terra Sensor Observation Service). Come risultato di quest’implementazione di prova sono state tratte alcune per quanto riguarda i dati limnologici, i servizi web e l’implementazione SOS. Come geoservizi web, questo lavoro ha concluso che: 1) WFS (Web Feature Service) e SOS sono, per le loro caratteristiche, i servizi più adatti da utilizzare per la condivisione dei dati limnologici; la scelta dell’uno o dell’altro dipenderà dalle particolari esigenze delle comunità dei ricercatori 2 ) Tra i due pacchetti, SOS ha la struttura più adeguata per rappresentare le osservazioni. Per quanto riguarda la caratteristica di dati limnologici, questo lavoro concluso che 3) i dati limnologici possono essere considerati dati d'osservazione, perché sono prodotti da un’azione il cui risultato è una stima del valore di una qualche proprietà della caratteristica d’interesse, in un punto specifico in tempo, ottenuto utilizzando una procedura specificata; 4) con la particolarità che in un istante di tempo questa proprietà può avere tanti valori quanto è il numero di specie che sono acqua in quel momento, questo è il motivo per cui i dati limnologici non possono essere mappati in modo ottimale nella specifica SOS. Sul tema del miglior server software da utilizzare per la realizzazione di tale SOS, questo lavoro ha concluso che: 1) nell’implementazione di prova dei due server, per i dati di uno specifico caso d’uso, non sono state riscontrate differenze significative riguardo a installazione del servizio, popolamento della base dati e prestazioni. 2) Tuttavia, tenendo conto del confronto software descritto prima, il software migliore in termini di funzionalità è 52 ° Nord Sensor Observation Service.
Geospatial Web services for limnological data. Study case drainage basin of Lake Maggiore long term ecological research site
ARIAS MUNOZ, CAROLINA
2011/2012
Abstract
For the Institute of Ecosystem Study (ISE), the challenge now is to produce, collect, analyze and share ecological data in an interoperative, automatic (real time) and standardized way. This will be the only way to be in sync with the main current SDI (Spatial Data Infrastructure) initiatives, and in Lake Maggiore case, especially with ongoing projects like EnvEurope and more specifically E-LTER (European Long Term Ecosystem Research) network. In order to achieve this goal, the present work aimed to determine the geospatial web services that fit better the ecological data produce at ISE, taking into account previous experiences in geospatial web services and using as a case study the ecological data coming from the drainage basin of Lake Maggiore. In order to determine this, a SOS test implementation was done using two different SOS (Sensor Observation Service) packages: 52°North Sensor Observation Service and istSOS (Istituto Scienze della Terra Sensor Observation Service). As result of the test implementation some conclusions were drawed for Limnological data, web services and SOS implementation. As geospatial web service, this work concluded that 1) due to its characteristics WFS (Web Feature Service) and SOS are the most adequate services to use for limnological data sharing, and choosing between them will depend on the particular needs of the researchers communities 2) Between the two of them SOS has the adequate components to represent observations. Regarding the characteristic of Limnological data, this work concluded that 3) Limnological data can be considered observational data, because is produced by an action whose result is an estimate of the value of some property of the feature-of-interest, at a specific point in time, obtained using a specified procedure; 4)with the particularity that in one time instant the property values can be as many as the number of species that are in the water at that moment, this is the reason why Limnological data can not be optimally mapped in SOS specification. On the topic of the best server software to be used for implementing such a SOS, this work concluded: 1) In the test implementation of the two servers, for a defined user case data, there was not much difference in service installation, population of data base and performance. 2)However, taking into account the software comparison described before, the best software in terms of functionalities would be 52°North. In order to determine this, a SOS test implementation was done using two different SOS (Sensor Observation Service) packages: 52°North Sensor Observation Service and istSOS (Istituto Scienze della Terra Sensor Observation Service). As result of the test implementation some conclusions were achieved for Limnological data, web services and SOS implementation. As geospatial web service, this work concluded that 1) due to its characteristics WFS (Web Feature Service) and SOS are the most adequate services to use for limnological data sharing, and choosing between them will depend on the particular needs of the researchers communities 2) Between the two of them SOS has the adequate components to represent observations. Regarding the characteristic of Limnological data, this work concluded that 3) Limnological data can be considered observational data, because is produced by an action whose result is an estimate of the value of some property of the feature-of-interest, at a specific point in time, obtained using a specified procedure; 4)with the particularity that in one time instant the property value can be as many as the number of species that are in the water at that moment , and this is the reason why Limnological data can not be optimally mapped in SOS specification. On the topic of the best server software to be used for implementing such a SOS, this work concluded: 1) In the test implementation of the two servers, there was not much difference in service installation, population of data base and performance was found for the defined user case data. 2)However, taking into account the software comparison described before, the best software in terms of functionalities would be 52°North.| File | Dimensione | Formato | |
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2012_04_Arias.pdf
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Descrizione: thesis text
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https://hdl.handle.net/10589/42701