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Explore FAKTS system through web-based or SQL queries to access depositional elements and transition data with filters and future developments. Easily download Excel spreadsheets with example outputs for analysis and exploration of dimensional data. Reset filters to run new queries for detailed results. Enhance your research with detailed statistical data on fluvial architectures.
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Fluvial Architecture Knowledge Transfer System (FAKTS):querying the database from the FRG website Luca Colombera, Nigel P. Mountney, Marco Patacci Fluvial & Eolian Research Group – University of Leeds
Querying FAKTS • Two alternative ways to interrogate FAKTS: • WEB-BASED FRONT-END hosted on FRG website. • Easy to use, but of limited capability. • Queries can be run on the website without requiring download of software or data. • SQL QUERIES on MySQL. • More difficult to use, but it enables full database interrogation. • Queries are run locally, requiring download of software (MySQL and HeidiSQL) and database.
Web-accessible front end • Easy to use, • limited capability • of query: • depositional and architectural elements currently included; • dimension and transition data made available; • limited number of filters. • Further developments will follow.
Web-accessible front end Go to: http://frg.leeds.ac.uk/
Web-accessible front end Log in to ‘Sponsors’ Pages’
Web-accessible front end Select ‘FAKTS Database’ from left-hand panel
Web-accessible front end Excel spreadsheets containing example output retrieved from the fully-searchable version of FAKTS are available for download.
Web-accessible front end Excel spreadsheets containing example output retrieved from the fully-searchable version of FAKTS are available for download.
Web-accessible front end Excel spreadsheets containing example output retrieved from the fully-searchable version of FAKTS are available for download.
Web-accessible front end The menu-driven front-end can be accessed from the same page.
Web-accessible front end Queries can be formulated and run from this page.
Web-accessible front end (1) the scale of observation (scale of genetic unit) should be chosen from the right-hand panel.
Web-accessible front end Let’s say we are interested in large-scale depositional elements.
Web-accessible front end The number in brackets under the genetic-unit type tells us that 46 studies contain information at the depositional-element scale.
Web-accessible front end (2) the type of output (i.e. geometry or transition data) we are interested in should be selected next.
Web-accessible front end Let’s say we are interested in obtaining dimensional parameters.
Web-accessible front end Now we can filter the database on the parameters on which the depositional systems are classified (lower right-hand panel).
Web-accessible front end (3) Let’s say we are interested only in data from convergent tectonic settings.
Web-accessible front end (3) let’s say we are interested only in data from convergent tectonic settings: we get 22 case studies now.
Web-accessible front end (4) now, we want to further filter the database by selecting only systems from subhumid basins.
Web-accessible front end (4) now, we want to further filter the database by selecting only systems from subhumid basins.
Web-accessible front end 11 case studies are now left.
Web-accessible front end 11 case studies are now left: here you see them listed.
Web-accessible front end (5) let’s say that we want to exclude modern-river data from the South Saskatchewan: just click on (Remove) in its box.
Web-accessible front end The South Saskatchewan data has now been removed.
Web-accessible front end A summary of the filters applied and case studies considered is presented at the top of the central panel.
Web-accessible front end (6) now we can select the type of depositional element (channel-complex or floodplain) for which we want dimensional data.
Web-accessible front end (6) now we can select the type of depositional element (channel-complex or floodplain) for which we want dimensional data.
Web-accessible front end (7) now we only need to click on ‘download’ to obtain the Excel spreadsheet with the filtered channel-complex output.
Web-accessible front end The Excel spreadsheet with FAKTS output can now be opened or downloaded for analysis of channel-complex geometries.
Web-accessible front end The Excel spreadsheet contains both architectural data, listed separately for each individual channel complex, and metadata.
Web-accessible front end If we want to run a new query, we can reset the filters applied by clicking on ‘Reset Filters’, at the top of the right-hand panel.
Web-accessible front end The screen will appear as above, as a confirmation that the filters have been reset.
Web-accessible front end Let’s see another example: we want to derive lateral transitions statistics of CH architectural elements in braided systems.
Web-accessible front end (1) therefore we select the scale of genetic unit of interest, which is now ‘Architectural Elements’.
Web-accessible front end Now we need to select again the type of output: unit transitions.
Web-accessible front end (2) we therefore click on ‘Unit Transitions’.
Web-accessible front end Now we want to filter the database on river pattern, so that only braided systems are included in the query.
Web-accessible front end (3) we therefore click on ‘Braided’ under the ‘River Pattern’ filter.
Web-accessible front end Now, let’s say we only want to derive output from the highest-quality case studies: we can filter on case data quality index.
Web-accessible front end (4) we therefore click on ‘A’ under the ‘Dataset DQI’ filter.
Web-accessible front end (5) now we can select the direction of transition in which we are interested from the drop-down menu in the central panel.
Web-accessible front end (5) finally, we need to select the type of architectural element for which we want to derive transition statistics.
Web-accessible front end (6) now, we can download the Excel spreadsheet with the relevant output by clicking on ‘Down. Excel’.
Web-accessible front end The Excel spreadsheet with FAKTS output can now be opened or downloaded for analysis of CH lateral-transition data.
Web-accessible front end Again, the Excel spreadsheet contains the raw architectural data, each row represents a lateral transition to an individual element.
Web-accessible front end From these data, information can be derived in the form of transition counts, with which to obtain transition frequencies.
Web-accessible front end From these data, information can be derived in the form of transition counts, with which to obtain transition frequencies.
Web-accessible front end From these data, information can be derived in the form of transition counts, with which to obtain transition frequencies.
Web-accessible front end From these data, information can be derived in the form of transition counts, with which to obtain transition frequencies.