Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 17048 for “"Spatial"”.
-
Blurring spatial limits : photography and spatial definition
… to image, forcing us to live in a state of spatial indeterminacy, in a Blurred space that lacks a specific formal, territorial or social definition. The notion of " limits" is constantly being questioned and redefined by th is transition, giving way to overlapping interpretations of the …
-
The Effectiveness of Qualitative Spatial Representation in Supporting Spatial Awareness and Spatial Decision-Making
Qualitative Spatial Representation (QSR) provides a foundation for encoding knowledge about objects in space and the relationships between them using discrete intervals rather than scalable or measurable numeric representations. QSR is said to be easier for humans to grasp than quantitative …
-
Spatial History: Using Spatial Memory to Recall Information
… but they cannot remember which document. SpatialHistory looks to allow a user to recall which windows and documents were open at a certain time spatially. The user may query a particular region of a large display and SpatialHistory will report the windows that were open in that area. …
-
How spatial is spatial language? Investigating the relationship between spatial cognition and abstract language processing
… study aimed to explore the relationship between spatially grounded language and spatial cognition. According to embodied cognition, sensitivity to spatial grounding should be related to experience with spatial cognition. Participants completed three language tasks assessing their sensitivity to …
-
Orienting Of Visual-spatial Attention With Augmented Reality: Effects Of Spatial And Non-spatial Multi-modal Cues
Advances in simulation technology have brought about many improvements to the way we train tasks, as well as how we perform tasks in the operational field. Augmented reality (AR) is an example of how to enhance the user's experience in the real world with computer generated information and …
-
Three Essays on the Spatial Autoregressive Model in Spatial Econometrics
The spatial autoregressive model (SAR) is a standard tool to analyze spatial data. It is of great interest in econometrics because it has a game structure and, therefore, can be interpreted as a reaction function: the outcome or behavior of observations at one location is directly affected by those …
-
Spatial Data Analysis
… of five chapters with a focus on modeling spatial and temporal data. In chapter 1, we explained different terminology and principles that appear frequently in the analysis of spatial and temporal data. These concepts were explained in detail to form a basis and motivation for the research …
-
Encounters & Spatial Controversies
… explores this terrain by engaging with specific spatial controversies, getting embroiled in arenas of friction, overlapping with a variety of different ‘actors’ and processes. Works develop as I try to do things in spaces, often in urban environments, probing situations in order to try to grasp …
-
Spatial material interfaces
… contextual interaction recognition and introduce Spatial Behaviors as an alternative method to allow interfaces to infer appropriate interaction modes from their location in space. This thesis presents the context, motivation, framework, implementation, evaluation, and future roadmaps towards …
-
Mapping spatial relations
… thesis, I present a computational theory for how spatial relations are grounded in the perceptual world. Three constraints are critical to this theory: abstractness, groundedness and flexibility all of which need to be satisfied in order to explain the structure of spatial concepts. I then show …
-
Spatial and non-spatial patterns of genetic diversity in Neotropical bats
… the study into two classes of analyses: non-spatial and spatial. In my non-spatial analyses, I estimated nucleotide diversity per bat species or OTU, and compared it to 19 environmental factors, two vegetation indices, five ecological traits, and phylogenetic family membership. In the spatial …
-
Data-intensive spatial pattern discovery based on generalized spatial point representations
Geospatial big data consisting of records at the individual level or with fine spatial resolutions, such as geo-referenced social media posts and movement records collected using GPS, provide tremendous opportunities to understand complex geographic phenomena and their space-time dynamics. Such …
-
The Effects of Spatial Aggregation on Spatial Time Series Modeling and Forecasting
… of space-time modeling is determining the spatial scale of the data. This dissertation addresses the following three questions: 1) How does spatial aggregation impact the properties of the variable and its model? 2) What spatial scale of the data produces more accurate forecasts of the …
-
Influence of spatial orientation and spatial visualization abilities on space teleoperation performance
… correlate with two known subcomponents of spatial intelligence: perspective-taking (PT) and spatial visualization (SV). A preliminary study [1] supports this hypothesis. We believe astronauts use PT (the ability to imagine an object from a different viewpoint) to integrate camera …
-
Spatial properties of photophobia
… the same subjects' psychophysically-determined spatial distributions of macular pigment, to examine in detail the attenuation of photophobia by macular pigment. Results indicate that the photophobia response is preferentially biased to prevent the fovea from exposure to potentially damaging …
-
Responsible Spatial Data Science
The goal of responsible spatial data science is to encourage the design and development of spatial methods, processes, algorithms, and systems to discover spatial patterns (e.g., hotspots, colocations) that reduce adverse impacts on the communities that use them. Related work on fairness issues (F) …
Page 1 of 853