Using the Yangtze River Delta urban agglomeration as a case study, this paper investigates the redistribution of economic activities resulting from HSRs by developing a locally weighted regression model, geographically network weighted regression (GNWR).
Back in the driver's seat, he is now doing precisely the opposite: trying out new approaches and diversifying Dell's business model both geographically and commercially.One of Mr Dell's first decisions was a push into what internet types call "social media".
The propagation of the gravity field errors into a map of anomaly errors is helpful for evaluating the model's performance geographically and aids the geophysical interpretation using that model.
For instance, the project has developed a method to model and geographically visualize Twitter activity.
Commercial real estate offers an especially juicy target for disruptors, as it contains antiquated business models, is geographically diverse, and the size of the market is huge.
The effects of major roads and services, residents' attraction to areas of high natural amenity, and previous residential development were estimated using logistic regression models and geographically weighted logistic regression models, respectively.
Here we review the different approaches to incorporating spatial dependence into predictive vegetation models focusing on four statistical methods: autoregressive models, geostatistics, geographically weighted regression, and parameter estimation models.
We used statistical simulation to compare the impact on epidemiological time-series analysis of additive measurement error in sparse monitor data as opposed to geographically and temporally complete model data.
We have introduced filled pauses into the language modeling as transparent words and model some geographically named entities as multiwords.
The COBERS model can thus expand the impact of MEPI geographically and at an earlier point in the care continuum.
Spatial regression models have therefore been developed under both frequentist and Bayesian approaches, with common methods used in epidemiological studies being Conditional Autoregressive Models (CAR), Geographically Weighted Regression (GWR) and the Besag York and Molliè (BYM) approach (Auchincloss et al. 2012; Chaney and Rojas-Guyler 2016; Rezaeian et al. 2007).
