Remote Sensing, Digital Mapping, and Geographical Information Systems: The Creation of National Policy in the United Kingdom

1986 ◽  
Vol 4 (1) ◽  
pp. 91-102 ◽  
Author(s):  
D W Rhind
Keyword(s):  
Remote Sensing ◽  
United Kingdom ◽  
Information Systems ◽  
Geographical Information Systems ◽  
National Policy ◽  
Geographical Information ◽  
Digital Mapping ◽  
The United Kingdom ◽  
The Creation

Realising ‘Joined-Up’ Geography in the National Health Service: The Role of Geographical Information Systems?

10.1068/c06r ◽  
2003 ◽  
Vol 21 (2) ◽  
pp. 241-258 ◽  
Author(s):  
Gary Higgs ◽  
Darren P Smith ◽  
Myles I Gould
Keyword(s):  
United Kingdom ◽  
Information Systems ◽  
National Health Service ◽  
Health Service ◽  
National Health ◽  
Geographical Information Systems ◽  
National Level ◽  
Geographical Information ◽  
Local Authorities ◽  
The United Kingdom

This paper focuses on the use of geographical information systems (GIS) within primary and secondary health care sectors in the United Kingdom in relation to wider notions of ‘joined-up’ government—a key tenet of central government initiatives aimed at addressing problems such as social exclusion and polarisation. Drawing on findings from a national-level questionnaire survey, and follow-up semi-structured interviews with key respondents from the National Health Service (NHS), we have found that there has been an increase in GIS uptake within health organisations in the last decade. However, there has been limited collaboration between NHS organisations and local authorities on projects that utilise GIS. This lack of interorganisational activity is underpinned by the lack of a service-level agreement for digital data provision within NHS organisations, ambiguous understandings of data confidentiality requirements, and a limited awareness of the benefits of joined-up working arrangements. The paper concludes with a suggestion that significant organisational and cultural changes are required to facilitate enabling contexts for enhanced collaborative use of GIS between NHS organisations and local authorities, in order to support the wider joined-up government agenda currently being promoted in the United Kingdom.

Modeling air pollution-related hospital admissions employing remote sensing and geographical information systems.

2021 ◽  
pp. 118502
Author(s):  
Tavera Busso Iván ◽  
Rodríguez Núñez Martín ◽  
Amarillo Ana Carolina ◽  
Mettan Fabricio ◽  
Carreras Hebe Alejandra
Keyword(s):  
Remote Sensing ◽  
Air Pollution ◽  
Information Systems ◽  
Geographical Information Systems ◽  
Hospital Admissions ◽  
Geographical Information

scholarly journals Numerical Modeling for Gully Erosion in the North of Algeria based on Data of Remote Sensing and Geographic Information Systems

2017 ◽  
Vol 25 (1) ◽  
pp. 37-63
Author(s):  
mohammad abbas daoudi mohammad abbas daoudi
Keyword(s):  
Remote Sensing ◽  
Multivariate Analysis ◽  
Information Systems ◽  
Geographical Information Systems ◽  
Univariate Analysis ◽  
Probabilistic Approach ◽  
Geographical Information ◽  
Rainfall Erosivity ◽  
Erosion Risk ◽  
The North

The problems of soil erosion are largely widespread in the countries of the Mediterranean basin. The process of gullying is a complex phenomenon with disastrous consequences. It particularly affects northern Algeria, decreasing the potentialities of the water tanks, reducing cultivable lands availability and degrading infrastructures. Therefore, this work studies the analysis and the prediction of gullying erosion by using a probabilistic approach based on multisource data. The objective of this search is to answer to the three following questions: i) which factors support the process of gullying ? ii) how does a process of gullying develop? iii) which are the zones favourable to gullying ? Works are undertaken on the catchment area of the Isser River. We focused the applications on the upstream part of the basin. In this research, we study a North-South transect which corresponds to three under-basins slopes. The choice of these tests areas answers to four criteria defined in our method: the representativeness, the homogeneity, the availability of former data and, finally, the accessibility. After the completion of the multisource data, modelling and multivariate analysis for the prediction of gullying. The combination factor-process by the univariate analysis allows on the one hand, to highlight the variables controlling the process of gullying, and on the other hand, to analyse the variables on a hierarchical basis and to know their degree of influence. The multivariate analysis, by the logistic regression model (LRM), enabled us to select the significant variables and to locate the most favourable zones for the process of gullying. The validation of the models is evaluated using the curves of lift spin. The results suggest that the factors highlighted by the model to be most influential on gullying erosion are: the lithology, the slope, the morphopedology, the rainfall erosivity and the land cover. The synthesis of this approach is illustrated in the form of charts of gullying erosion risk maps in four classes of probability. The assessment of the study shows the fundamental interest of this approach using geographical information systems and remote sensing, in particular for the watersheds of the southern Mediterranean, with the possibility of extending this methodology to other regions.

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