Sentence examples for occupation patterns from inspiring English sources

Changes over the last century in the economic model of European countries and the development of the market economy have led to intense shifts in land occupation patterns.

In this paper, a detailed vegetation and environmental reconstruction for the Lateglacial interstadial in the Moervaart area (NW Belgium) is discussed, in relation to former human occupation patterns.

Where the subsoil is seen as changing extremely slowly, and the networks change at a moderate pace, the occupation patterns can change relatively rapidly.

It assumes the occupation patterns are nested in the infrastructure networks, which, in turn are embedded in the substrate system (Priemus 2007).

Although the pattern of habitation was in general dependent on the environment offered by nature, also political and socio-economic factors have been involved, resulting in varying occupation patterns in prehistoric and medieval times.

The sand sequences exposed at the archaeological sites of Arendonk-Korhaan and Lommel-Maatheide offer a unique means to study the possible relation between human occupation patterns and climatic and environmental changes during the Weichselian Holocene transition in the Campine region (NE Belgium).

Variational parameters minimizing the evaluated diffusional eigenvalue of the microscopic rate matrix are 'geometrical' and 'correlational' phases accounting, for the local potential energy landscape experienced by the adsorbed particle and the local correlations, respectively, i.e. an instantaneous occupation pattern of adsorption sites around the particle.

Adjusting for cluster effect of village, vulnerability to OPV and human rights violations varied with ethnicity, occupation, pattern of political and social participation and interpersonal relationships, as well as geographical location (Table 4).

A total of 78,506 clients who visited the ICTC, PGIMER, Chandigarh from January 2003 to October 2013 were included and variables like age, sex, occupation, pattern of risk behavior and HIV sero status were studied.

Socioeconomic status (age, gender, educational level, and occupation), lifestyle patterns (residence, alcohol consumption, and smoking), anthropometric measures (BMI, PBF, HC, and WHR), and biochemical blood profile (TC and LDL-C) were significantly associated with MetS in univariate logistic regression.

When the endemic areas are concerned, non-affected individuals reside in the same vicinity and household as affected for long periods of time without being affected by CKDu and studying different aspects of lifestyle, occupations, dietary patterns etc. of these two groups would be much intriguing.