Sentence examples for Data land from inspiring English sources

Exact(19)

In the absence of reliable data, land managers are left with little more than observations and perceptions to support management decisions of road-associated disturbances.

This study developed regression models for predicting baseflow and baseflow index (BFI) (baseflow/total streamflow) at ungauged sites by using long-term baseflow data, land use, and watershed physiographic characteristics.

Future iterations of this model will incorporate census data, public transportation data, land use data and entertainment districts from other cities to further analyze the effect of licensed establishments on the distribution of crime.

A novel methodology using commonly-available geospatial data (land use, well head protection areas) and public accessible data (salt application rates, hydrometric data) to identify salt vulnerable areas (SVAs) for groundwater wells is developed to prioritize implementation of better management practices for road salt applications.

Extensive data sets including in-stream water quality and flowrate measurements, meteorological data, land use/land cover (LULC) map developed using remote sensing algorithms, information about agricultural activities, and soil data are used to calibrate and verify the hydraulic and water quality components of SWAT model.

Today is a sad day in data land.

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Similar(41)

We also quantified the impact of other error sources, including geolocation errors between the map and reference data, land-cover changes between dates of data collection, heterogeneous reference samples, and edge pixels.

Utilities installing smart meters, brokerages creating mobile advisory apps, travel sites recording all the offers visitors don't click on all of these are colonizing new data lands.

Training where your data lands soon becomes sensible advice.

Besides fanning out this information to analytics services like Google Analytics and Mixpanel, or marketing tools like Marketo, all this data lands in a data warehouse.

Besides fanning out this information to analytics services like Google Analytics and Mixpanel, or marketing tools like Marketo, all this data lands in a data warehouse.

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