Evaluation of Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) for Water Quality Monitoring: A Case Study for the Estimation of Salinity

2018 ◽  
Vol 17 (2) ◽  
pp. 305-310 ◽  
Author(s):  
Majid Nazeer ◽  
Muhammad Bilal
Keyword(s):  
Water Quality ◽  
Geographically Weighted Regression ◽  
Water Quality Monitoring ◽  
Least Square ◽  
Quality Monitoring ◽  
Weighted Regression ◽  
Ordinary Least Square

scholarly journals Estimating Urban Shared-Bike Trips with Location-Based Social Networking Data

2019 ◽  
Vol 11 (11) ◽  
pp. 3220 ◽  
Author(s):  
Fan Yang ◽  
Fan Ding ◽  
Xu Qu ◽  
Bin Ran
Keyword(s):  
Geographically Weighted Regression ◽  
Least Square ◽  
Weighted Regression ◽  
Transportation Mode ◽  
Ordinary Least Square ◽  
Social Network Data ◽  
Point Of Interest ◽  
The Relationship ◽  
Excessive Number

Dockless shared-bikes have become a new transportation mode in major urban cities in China. Excessive number of shared-bikes can occupy a significant amount of roadway surface and cause trouble for pedestrians and auto vehicle drivers. Understanding the trip pattern of shared-bikes is essential in estimating the reasonable size of shared-bike fleet. This paper proposed a methodology to estimate the shared-bike trip using location-based social network data and conducted a case study in Nanjing, China. The ordinary least square, geographically weighted regression (GWR) and semiparametric geographically weighted regression (SGWR) methods are used to establish the relationship among shared-bike trip, distance to the subway station and check ins in different categories of the point of interest (POI). This method could be applied to determine the reasonable number of shared-bikes to be launched in new places and economically benefit in shared-bike management.

A Community Facilitation Model for E-Government

2007 ◽  
pp. 114-126
Author(s):  
Kyle B. Murray ◽  
Cory A. Habulin
Keyword(s):  
Water Quality ◽  
Water Quality Monitoring ◽  
Water Monitoring ◽  
Quality Monitoring ◽  
Central Tenet ◽  
Traditional Approaches ◽  
The Impact

This chapter introduces a community facilitation model for e-government. The central tenet of this approach is the empowerment of a segment of the population to act, by providing the tools and information necessary to tackle issues that have been difficult to address with traditional approaches to government. Under this model, government provides an initial spark and then plays a supporting role in the growth of the community. By doing so, the costs of the program are minimized while the impact of the program is maximized. We examine the viability of the model by looking at a case study in water quality monitoring. The case illustrates the power of a government facilitated community of action to address an important problem, and it suggests that such a model can be applied globally and may be relevant to government initiatives beyond water monitoring.

Reservoir water quality monitoring using remote sensing with seasonal models: case study of five central-Utah reservoirs

2015 ◽  
Vol 31 (3) ◽  
pp. 225-240 ◽  
Author(s):  
Carly Hyatt Hansen ◽  
Gustavious P. Williams ◽  
Zola Adjei ◽  
Analise Barlow ◽  
E. James Nelson ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Reservoir Water
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