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The applicability of a groundwater model to a real situation depends on the accuracy of the input data and the parameters. Determination of these requires considerable study, like collection of hydrological data ( rainfall , evapotranspiration , irrigation , drainage ) and determination of the parameters mentioned before including pumping tests .
Covertype Dataset Data for predicting forest cover type strictly from cartographic variables. Many geographical features given. 581,012 Text Classification 1998 [311] [312] J. Blackard et al. Abscisic Acid Signaling Network Dataset Data for a plant signaling network. Goal is to determine set of rules that governs the network. None. 300 Text
Free and open-source software portal This is a category of articles relating to data visualization software which can be freely used, copied, studied, modified, and redistributed by everyone that obtains a copy: " free software " or " open source software ".
The use of GIS to analyze groundwater falls into the field of hydrogeology. Since 98% of available freshwater on Earth is groundwater, [7] the need to effectively model and manage these resources is apparent. As the demand for groundwater continues to increase with the world’s growing population, it is vital that these resources be properly ...
Groundwater engineering, another name for hydrogeology, is a branch of engineering which is concerned with groundwater movement and design of wells, pumps, and drains. [1] The main concerns in groundwater engineering include groundwater contamination , conservation of supplies, and water quality .
Geovisualization is closely related to other visualization fields, such as scientific visualization [1] and information visualization. [2] Owing to its roots in cartography, geovisualization contributes to these other fields by way of the map metaphor, which "has been widely used to visualize non-geographic information in the domains of information visualization and domain knowledge ...
Data presentation architecture weds the science of numbers, data and statistics in discovering valuable information from data and making it usable, relevant and actionable with the arts of data visualization, communications, organizational psychology and change management in order to provide business intelligence solutions with the data scope ...
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.