A spatially explicit classification model for affective computing in built environments

2017 ◽  
Author(s):  
Heath Yates ◽  
Brent Chamberlain ◽  
William H. Hsu
Keyword(s):  
Affective Computing ◽  
Classification Model ◽  
Spatially Explicit ◽  
Built Environments

Spatially-explicit modelling of grassland classes – an improved method of integrating a climate-based classification model with interpolated climate surfaces

2014 ◽  
Vol 36 (2) ◽  
pp. 175 ◽  
Author(s):  
Xiaoni Liu ◽  
Hongxia Wang ◽  
Jing Guo ◽  
Jingqiong Wei ◽  
Zhengchao Ren ◽  
...  
Keyword(s):  
Environmental Management ◽  
Classification Model ◽  
Spatially Explicit ◽  
Forest Steppe ◽  
Climate Variables ◽  
Climate Data ◽  
Humid Forest ◽  
Cool Temperate ◽  
Total Study Area

Spatially-explicit modelling of grassland classes is important to site-specific planning for improving grassland and environmental management over large areas. In this study, a climate-based grassland classification model, the Comprehensive and Sequential Classification System (CSCS) was integrated with spatially interpolated climate data to classify grassland in Gansu province, China. The study area is characterised by complex topographic features imposed by plateaus, high mountains, basins and deserts. To improve the quality of the interpolated climate data and the quality of the spatial classification over this complex topography, three linear regression methods, namely an analytic method based on multiple regression and residues (AMMRR), a modification of the AMMRR method through adding the effect of slope and aspect to the interpolation analysis (M-AMMRR) and a method which replaces the inverse distance-weighted approach for residue interpolation in M-AMMRR with an ordinary kriging approach (I-AMMRR), for interpolating climate variables were evaluated. The interpolation outcomes from the best interpolation method were then used in the CSCS model to classify the grassland in the study area. Climate variables interpolated included the annual cumulative temperature and annual total precipitation. The results indicated that the AMMRR and M-AMMRR methods generated acceptable climate surfaces but the best model fit and cross validation result were achieved by the I-AMMRR method. Twenty-six grassland classes were classified for the study area. The four grassland vegetation classes that covered more than half of the total study area were ‘cool temperate-arid temperate zonal semi-desert’, ‘cool temperate-humid forest steppe and deciduous broad-leaved forest’, ‘temperate-extra-arid temperate zonal desert’, and ‘frigid per-humid rain tundra and alpine meadow’. The vegetation classification map generated in this study provides spatial information on the locations and extents of the different grassland classes. This information can be used to facilitate government agencies’ decision-making in land-use planning and environmental management, and for vegetation and biodiversity conservation. The information can also be used to assist land managers in the estimation of safe carrying capacities, which will help to prevent overgrazing and land degradation.

Agent-Based Computational Model

2017 ◽  
Author(s):  
Joshua M. Epstein
Keyword(s):  
Computational Model ◽  
Bounded Rationality ◽  
Time Scales ◽  
Spatially Explicit ◽  
Agent Based ◽  
Affective Component ◽  
Elementary Type ◽  
Social Component ◽  
Different Time Scales

This part describes the agent-based and computational model for Agent_Zero and demonstrates its capacity for generative minimalism. It first explains the replicability of the model before offering an interpretation of the model by imagining a guerilla war like Vietnam, Afghanistan, or Iraq, where events transpire on a 2-D population of contiguous yellow patches. Each patch is occupied by a single stationary indigenous agent, which has two possible states: inactive and active. The discussion then turns to Agent_Zero's affective component and an elementary type of bounded rationality, as well as its social component, with particular emphasis on disposition, action, and pseudocode. Computational parables are then presented, including a parable relating to the slaughter of innocents through dispositional contagion. This part also shows how the model can capture three spatially explicit examples in which affect and probability change on different time scales.

Conservation and Preservation of Nature Reserves, Monuments andSpecial Architectural or Historic Interest in Nigeria: Towards Promotion of Sustainable Cultural Tourism

2015 ◽  
Vol 3 (2) ◽  
pp. 201-218
Author(s):  
Francis Chuma Osefoh
Keyword(s):  
Cultural Tourism ◽  
Nature Reserves ◽  
Communication Link ◽  
Built Environments ◽  
Tourist Attraction ◽  
The Past ◽  
Personal Experiences ◽  
Historical Heritage ◽  
Developed Nations

Some of the renowned world tourism countries have special peculiarities in character in terms of their nature reserves and built environments; that made them stand out for their attractions and visits. These qualities range from conservation and preservation of nature reserves, built environments- epoch architectural supports over the years; historical heritage; political; religious; socio-economic; cultural; and  high technology that enhance culture. The virtues of multi- ethnic groups and multi- cultural nature gave Nigeria a rich cultural heritage, and she is blessed with natural wonders, unique wildlife, and a very favorable climate. More often than not less attention and importance are placed over the nature reserves and built environments to the detriment of tourism in lieu of other sectors. Summarily the country lacks the culture of conservation and preservation of her abundant resources to promote cultural tourism. Case study strategy was applied in the research tours with reports of personal experiences, documentaries and analyses of sites visited in Europe and Nigeria were highlighted with references to their attributes in terms of structures and features that made up the sites as relate to culture and attraction.The task in keeping rural, city landscapes and nature reserves alive stands out as the secret of communication link from the past to present and the future; which tourism developed nations reap as benefits for tourist attraction.

DESIGNING FOR AUTISM: AN ASPECTSS™ POST-OCCUPANCY EVALUATION OF LEARNING ENVIRONMENTS

2018 ◽  
Vol 12 (3) ◽  
pp. 308 ◽  
Author(s):  
Magda Mostafa
Keyword(s):  
Learning Environments ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Built Environments ◽  
Outdoor Learning ◽  
Learning Spaces ◽  
Post Occupancy Evaluation ◽  
8Th Grade ◽  
Evaluation Of Learning

The objective of this paper is to demonstrate the application of the Autism ASPECTSS™ Design Index in the Post-Occupancy Evaluation of existing learning environments for children along the autism spectrum. First published in 2014 this index outlines 7 design criteria that have been hypothesized to support environments conducive of learning for children with autism spectrum disorder (ASD). Using the index as a framework, this paper outlines a case study of a Post-Occupancy Evaluation (POE) of an existing pre-K-8th grade public charter purpose-built school for children on the autism spectrum. The tools used for the evaluation were: the ASPECTSS scoring of the school through a survey of teachers and administrators; on-site behavioral in-class observation; and focus groups of parents, teachers, staff and administrators. The results informed a design retro-fit proposal that strived to assess any ASPECTSS compliance issues and implement the index across the learning spaces, therapy spaces, support services and outdoor learning environments of the school. This paper will outline the application of the index and the resultant design from this process. The results will strive to present a scalable and replicable methodology and prototype for improving existing built environments for learners with ASD.

A glance on dystonias, how to recognize and handle them

2019 ◽  
pp. 22-29
Author(s):  
F. N. Mercan ◽  
E. Bayram ◽  
M. C. Akbostanci
Keyword(s):  
Differential Diagnosis ◽  
Movement Disorder ◽  
Age Of Onset ◽  
Clinical Manifestations ◽  
Body Part ◽  
Classification Model ◽  
Treatment Choices ◽  
Muscle Groups

Dystonia refers to an involuntary, repetitive, sustained, painful and twisting movements of the affected body part. This movement disorder was first described in 1911 by Hermain Oppenheim, and many studies have been conducted to understand the mechanism, the diagnosis and the treatment of dystonia ever since. However, there are still many unexplained aspects of this phenomenon. Dystonia is diagnosed by clinical manifestations, and various classifications are recommended for the diagnosis and the treatment. Anatomic classification, which is based on the muscle groups involved, is the most helpful classification model to plan the course of the treatment. Dystonias can also be classified based on the age of onset and the cause. These dystonic syndromes can be present without an identified etiology or they can be clinical manifestations of a neurodegenerative or neurometabolic disease. In this review we summarized the differential diagnosis, definition, classifications, possible mechanisms and treatment choices of dystonia.

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