Sentence examples for forecasting and mapping from inspiring English sources

Exact(2)

Forecasting and mapping entrepreneurial quality.

It is necessary to generate a mathematical ionospheric forecasting and mapping model for TEC based on physical ionospheric influencing parameters.

Similar(58)

With no operations to distract them, the Brumleys and their dozen employees worked six days a week for four months, studying Cedar Creek's production documents, conducting forecasts and mapping decline curves for all 450 wells.

I typically rely on MyWeather Mobile for forecasts and maps because it loads quickly and packs information into a more accessible format than the others on the market.

Our system, Aviation Weather Data Visualization Environment (AWE), focuses on graphical displays of these weather elements, namely, meteorological observations, terminal area forecasts, and winds aloft forecasts and maps them onto a cartographic grid specific to the pilot's area of interest.

It requires governments to give up the trickle of income they currently receive from licensing data and selling products such as weather forecasts and maps on the promise of greater returns in the future.

Past COST projects 238 (PRME) and 251 (IITS) encompassed a variety of efforts to forecast and map the ionospheric plasma response to disturbed geophysical conditions over the European region.

Although progress in science has led to an improved understanding of environmental hazards themselves, and technologies, such as satellites, have improved forecasting and risk mapping, there has been less focus on the causes of social vulnerability at the international level (Blanchard et al. 2015).

"I built Perfect Weather in 2013 because there were no apps at the time that showed a glanceable view of both the forecasts and weather maps," Barnard continues.

"In 2017 there are now a few weather apps that do show both the forecast and weather maps in the same view, but none of them do it well," he adds.

Novel techniques such as dynamic mapping, multivariate visualization, flow mapping, outbreak signature forecasting, and large-scale simulations of infection spread have the potential to shed light on the complexity of spatial disease clustering.

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