Sökning: "Spatial analysis"
Visar resultat 1 - 5 av 1338 avhandlingar innehållade orden Spatial analysis.
1. Spatial positioning : method development for spatial analysis of interaction in buildings
Sammanfattning : In offices, knowledge sharing largely depends on everyday face-to-face interaction patterns. These interaction patterns may depend on how employees move through the office space. This thesis explores how these spatial relations influence individual choices with respect to employee movements or routes. LÄS MER
2. Spatial transcriptome and epigenome analysis with focus on prostate cancer
Sammanfattning : Each cancer is unique, and therefore the use of general treatments are often suboptimal. If we can understand the mechanisms of cancer development, we might be able to develop effective treatments tailored to each patient. Our bodies are complex three-dimensional structures and how things are organized correlate with proper functioning. LÄS MER
3. Spatial Analysis and Modeling for Health Applications
Sammanfattning : Despite the benefits of applying methods of geographic information science (GIScience), the use of such methods in health service planning and provision remains greatly underutilized. Spread of epidemic diseases is a constant threat to mankind and the globalization of the world increases the risk for global attacks from multi-resistant bacteria or deadly virus strains. LÄS MER
4. Computational methods for analysis of spatial transcriptomics data : An exploration of the spatial gene expression landscape
Sammanfattning : Transcriptomics techniques, whether in the form of bulk, single cell/nuclei, or spatial methods have fueled a substantial expansion of our knowledge about the biological systems within and around us. In addition, the rate of innovation has accelerated over the last decade, resulting in a multitude of technological advances and new methods for generation of transcriptomics data. LÄS MER
5. Scalable Bayesian spatial analysis with Gaussian Markov random fields
Sammanfattning : Accurate statistical analysis of spatial data is important in many applications. Failing to properly account for spatial autocorrelation may often lead to false conclusions. LÄS MER