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cs:simple [21.11.2022] – Kamil Nešetřilcs:simple [29.11.2022] – upraveno mimo DokuWiki 127.0.0.1
Řádek 3: Řádek 3:
  
 > HgIS pomáhá formulovat alternativní koncepční modely a umožňuje implementovat jednoduché procedurální (tj. výpočetní) modely. Prezentované [[casestudies|]] je možné implementovat a zobrazovat v HgIS, přičemž se výsledky aktualizují na základě nových dat.  > HgIS pomáhá formulovat alternativní koncepční modely a umožňuje implementovat jednoduché procedurální (tj. výpočetní) modely. Prezentované [[casestudies|]] je možné implementovat a zobrazovat v HgIS, přičemž se výsledky aktualizují na základě nových dat. 
-> Navíc platforma Pentaho umožňuje((plugin [[https://www.hitachivantara.com/en-us/pdfd/datasheet/pentaho-machine-learning-orchestration-datasheet.pdf|Machine Intelligence]])) spustit model založený na datech (např. neuro­novou síť) s využitím různých implementací: R, Python, Weka a Deeplearning4j.+> Navíc platforma Pentaho umožňuje((plugin [[hitachi>https://www.hitachivantara.com/en-us/pdfd/datasheet/pentaho-machine-learning-orchestration-datasheet.pdf|Machine Intelligence]])) spustit model založený na datech (např. neuro­novou síť) s využitím různých implementací: R, Python, Weka a Deeplearning4j.
  
 <WRAP box> <WRAP box>
Řádek 27: Řádek 27:
 “Jamieson (2000) pointed out that scientists live in a highly competitive environment where funding for research is limited. Involvement in policy-modeling projects helps scientists present themselves as real-world problem solvers, which helps secure funding for their scientific pursuits.” (Clement 2011, s. 626) “Jamieson (2000) pointed out that scientists live in a highly competitive environment where funding for research is limited. Involvement in policy-modeling projects helps scientists present themselves as real-world problem solvers, which helps secure funding for their scientific pursuits.” (Clement 2011, s. 626)
  
-“The simulation results can be used to construct reasonable qualitative arguments as to why certain processes or events can or cannot occur. However, it is important that we understand the limits of these tools and recognize that they are better viewed as computer-aided thinking tools rather than computer-aided prediction tools.” (Clement 2011, s. 627)+“The simulation results can be used to construct reasonable qualita­tive arguments as to why certain processes or events can or cannot occur. However, it is important that we understand the limits of these tools and recognize that they are better viewed as computer-aided thinking tools rather than computer-aided prediction tools.” (Clement 2011, s. 627)
  
 “In summary, ‘hydrogeologic science’ is not well suited to quanti­tative prediction and is best suited to providing hydro­geologists with theoretical and science-based intuition that they can apply when suggesting solutions to complex practical problems. Hydrogeologists are faced with being primarily descriptive scientists rather than quanti­tative scientists, and can employ quantification only to the extent they ‘believe’ is meaningful and useful. Some hydrogeologic problems cannot be solved – they are too complex. This must be admitted and efforts should rather be applied to solvable problems. It should be a major role of hydrogeologists to help managers define the practical questions that are possible to answer.” (Voss 2005, s. 6) “In summary, ‘hydrogeologic science’ is not well suited to quanti­tative prediction and is best suited to providing hydro­geologists with theoretical and science-based intuition that they can apply when suggesting solutions to complex practical problems. Hydrogeologists are faced with being primarily descriptive scientists rather than quanti­tative scientists, and can employ quantification only to the extent they ‘believe’ is meaningful and useful. Some hydrogeologic problems cannot be solved – they are too complex. This must be admitted and efforts should rather be applied to solvable problems. It should be a major role of hydrogeologists to help managers define the practical questions that are possible to answer.” (Voss 2005, s. 6)
Řádek 76: Řádek 76:
 “Our models should be designed expressly to maximize the possibility of discovering that of which we are ignorant. Beck (2002)” Citováno podle: (Ebel a Loague 2006, s. 2887) “Our models should be designed expressly to maximize the possibility of discovering that of which we are ignorant. Beck (2002)” Citováno podle: (Ebel a Loague 2006, s. 2887)
  
-“Kirkby (1996): Models are thought experiments which help refine our understanding of the dominant processes acting ... While most simulation models may be used in a forecasting mode, the most important role of models is as a qualitative thought experiment, testing whether we have a sufficient and consistent theoretical explanation of physical processes. The best model can only provide a possible explanation which is more consistent with known data than its current rivals. Every field observation, and especially the more qualitative or anecdotal ones, provides an opportunity to refute, or in some cases overturn, existing models and the theories which lie behind them.” (Ebel a Loague 2006, s. 2895)+“Kirkby (1996): Models are thought experiments which help refine our understanding of the dominant processes acting ... While most simulation models may be used in a forecasting mode, the most important role of models is as a qualita­tive thought experiment, testing whether we have a sufficient and consistent theoretical explanation of physical processes. The best model can only provide a possible explanation which is more consistent with known data than its current rivals. Every field observation, and especially the more qualitative or anecdotal ones, provides an opportunity to refute, or in some cases overturn, existing models and the theories which lie behind them.” (Ebel a Loague 2006, s. 2895)
  
 “... application of distributed hydrological models is more an exercise in prophecy than prediction.” (Beven 1993, s. 41) “... application of distributed hydrological models is more an exercise in prophecy than prediction.” (Beven 1993, s. 41)
Poslední úprava: 20.04.2024