group_modelling:st_data
Diferenças
Aqui você vê as diferenças entre duas revisões dessa página.
Ambos lados da revisão anteriorRevisão anteriorPróxima revisão | Revisão anterior | ||
group_modelling:st_data [2009/03/18 21:30] – inpeifgi | group_modelling:st_data [2009/03/19 14:18] (atual) – inpeifgi | ||
---|---|---|---|
Linha 30: | Linha 30: | ||
- | === 2. One publication (extended abstract at Ilhabela) | + | === 2. One Publication |
- | ====== | + | // |
+ | \\ | ||
+ | \\ | ||
+ | // | ||
+ | Some examples are physical processes like temperature and volcano eruption, moving objects | ||
+ | like animal tracking and iceberg movement as well as evolving objects like oil spill evolution | ||
+ | on the ocean. This spatio-temporal data is generated by different technologies, | ||
+ | and mobile geosensors, GPS and Earth observation satellites or radio-frequency identification | ||
+ | (RFID) and can be distributed in different data sources. In order to analyse this kind of data | ||
+ | | ||
+ | the variation of distance between two moving objects over time and extraction of time series of | ||
+ | a specific location or area. | ||
+ | \\ | ||
+ | In this context, service oriented architecture is a good option to create interoperable | ||
+ | frameworks in order to handle distributed spatio-temporal data sources. Therefore, this work | ||
+ | aims to evaluate if and how existing web service specifications, | ||
+ | Service (SOS), Web Feature Service (WFS), Web Coverage Service (WCS), Web Processing Service (WPS), | ||
+ | Open Location Service (OpenLS) and Sensor Planning Service (SPS), | ||
+ | information. The main goal is to assess them by considering the following aspects: | ||
+ | supported spatio-temporal data and operations, usability and compliance of existing | ||
+ | implementations. | ||
- | Spatio-temporal data is used to represent dynamic spatial phenomena. Some examples are physical processes like temperature and volcano eruption, moving objects like animal tracking and iceberg movement as well as evolving objects like oil spill evolution on the ocean. This spatio-temporal data is generated by different technologies, | ||
- | In this context, service oriented architecture is a good option to create interoperable frameworks in order to handle distributed spatio-temporal data sources. Therefore, this work aims to evaluate if and how existing web service specifications, | ||
=== 3. Identifying suitable tools for development and evaluation === | === 3. Identifying suitable tools for development and evaluation === | ||
Linha 41: | Linha 59: | ||
* TerraLib (database, elementary topological operations) | * TerraLib (database, elementary topological operations) | ||
* TerraHS/ | * TerraHS/ | ||
- | * PostGIS | ||
* Secondo (database for moving objects), Aguila (visualisation) | * Secondo (database for moving objects), Aguila (visualisation) | ||
* TerraME, PCRaster (environmental modelling) | * TerraME, PCRaster (environmental modelling) | ||
Linha 48: | Linha 65: | ||
* OGC web services -- 52N suite, ... | * OGC web services -- 52N suite, ... | ||
- | === 4. topics for jointly supervised Masters- and PhD theses === | ||
- | - web service (access and processing) specifications (Master thesis) | ||
- | - usability of visualisation of spatio-temporal data (Q: bachelor or master?) | ||
- | |||
- | === 5. One mobility measure proposal === | ||
- | | ||
- | - Q:Is goodness of fit a possible mobility measure proposal? | ||
- | |||
- | === 6. Presentation of preliminary results (15+15 min. each) on Tue, Mar 17, 13.30-15.30 === | ||
- | |||
- | === 7. Presentation of final results (15+15 min. each) on Thu, Mar 19, 14.00-16.00 === |
group_modelling/st_data.1237411821.txt.gz · Última modificação: 2009/03/18 21:30 por inpeifgi