Sentence examples for household typologies from inspiring English sources

The model framework uses information on the drivers of land use change, landscape classification, and household typologies.

For the present study, farm household typologies were identified by using two sequential multivariate statistical techniques: principal component analysis (PCA) and cluster analysis (CA) (Ding and He [2004]).

Case studies results are presented to highlight the effect of different household types on energy consumption and occupants' requirements, and point at the importance of taking into account household typology and socio-economic characteristics in energy calculations or building simulations, as well as occupant requirements in the design process.

In Table 2, the average number of weekly activities per household typology are reported, distinguishing between in-house and out-door activities.

The final comparison (Figure 11) regards the household typology.

Other significant differences with regard to care-giving status and socio-demographic characteristics were observed for self-reported change in financial situation and household typology (Table 1).

Also in this case, leisure activities are carried out more frequently by households with higher number of components (11% and 13% for one and two components households respectively and about 20% for the others households typology).

Many house typologies are identified.

In addition, perceptions on forest change were significantly related to the household livelihood typologies (X2 = 623.4, df = 4, p = 0.000): respondents who perceived forest cover as having declined and those that provided no response belonged to cluster 2 ("low income mixed farming households"), which is also the dominant livelihood typology around these forests.

Simulating all the households in the survey (n = 613) over 99 years of synthetic climate data, showed that benefits and trade-offs from "mulching or munching" differ across agro-ecologies, and within agro-ecologies across typologies of households.

Therefore to understand the causes in greater detail, a primary survey of 707 households belonging to different housing typologies like bungalows, duplexes, twin houses, row houses and apartments of the linear and angular forms was carried out in the study site.