Peaceful, Pleasant and Private: The British Domestic Garden as an OrdinaryLandscape
Cultural landscape ; Daily life ; Domestic space ; Garden ; Great Britain ; Landscape ; Mass-Observation Archive ; United Kingdom ; gardens ; narrative ; ordinarylandscapes ; privacy
-Observation Archive (MO) to explore ideas of landscape, privacy and attachment that emerge from daily practices and routines in these ordinary domestic spaces. We argue for the domestic garden as a vernacular or ordinarylandscape that displays tensions
is a space well described in Britain in its public form but less well known as a private, everyday landscape. In this way a cultural landscape study becomes a contemporary critical geography of an ordinary space.
This paper investigates differences in opinion about the attractiveness of these landscapes between groups of people according to their linguistic area and other socio-demographic characteristics in Belgium. Dutch speakers found chessboard agrarian
landscapes more attractive. Less educated par-ticipants felt more positive towards anthropogenic landscapes. Women were more attracted by farmed fields. Qualitative data added depth to the analysis, permitting to explore different ways in which people related
Landsape and surplus value: the making of the ordinary in Brentwood, CA
Agricultural work ; California ; Capitalism ; Crop ; Labour ; Landscape ; Landscape analysis ; Orchard ; Social relations ; Social reproduction ; United States
Los Angeles after the storm: the dialectic of ordinary disaster
California ; Environment ; Environmental perception ; Landscape dynamics ; Los Angeles ; Natural hazards ; Storm ; United States of America ; Urban climate ; Vegetation
Property and aesthetics in an ordinary American landscape
Architecture ; Community ; Esthetics ; Kentucky ; Landscape ; Real estate property ; Residential neighbourhood ; Sense of belonging ; Social class ; United States of America ; Urban area ; Urban landscape
Incorporation of multi-scale spatial autocorrelation in soil moisture–landscape modeling
Based on soil, vegetation, and topographic data collected in the Sindu coastal dunefield in western Korea, this research developed 3 soil moisture–landscape models, each incorporating spatial autocorrelation (SAC) at fine, broad, and multiple scales
, respectively, into a non-spatial ordinary least squares (OLS) model. All of these spatially explicit models showed better performance than the OLS model. In particular, the best model was proved to be the one using spatial eigenvector mapping, a technique
on runoff and erosion, 2 storm events with different intensity and duration were considered. Ordinary kriging (OK) and kriging with external drift (KED) inputs produced similar results, with the latter being closer to the observed hydrographs. The highest
soil losses were obtained with KED. To improve the results of soil loss predictions, higher accurate spatial information on the processes is needed; however, spatial information of input soil properties alone is not enough in complex landscapes
) model results show spatial gradients of local R2 values with consistently higher local R2 values in the northern Cascades. This finding illustrates that different hydrologic landscape factors, such as geology and seasonal distribution of precipitation
approach over a spatial ordinary least squares (OLS)-estimated regression models for predicting streamflow trends.
Cultural landscape ; Cultural studies ; Historical geography ; Landscape ; Landscape analysis ; Landscape esthetics ; United States of America
Nineteen essays that describe landscape meanings from different perspectives: landscape interpretation, landscape as a historic experience, landscape as myth and meaning, and landscape as artifice and art. - (DWG)
Geographical terminology of the rural cultural landscape (report on the progress of the international working group for the terminology of the agricultural landscape)
This paper sketches out a method for a quantitative description of landscape structure, which can be used for biologically optimal landscape management. The approach suggested is based on a landscape ecological framework and emphasis is laid
on spatial characterisation of the landscape. It aims at supplementing conventional landscape descriptive parameters of biological importance, which are derived from a range of empirical data, with a spatial characterization. The method is implemented
in a vector-based GIS (ArcView) and allows quantification of landscape structure in different landscape types. Suggestions to further development of the method are discussed.