Sökning: "rumslig metod"
Visar resultat 1 - 5 av 24 avhandlingar innehållade orden rumslig metod.
1. Towards a Scenario-based Spatial Dynamic Modeling for Predicting Urban Land Use Change : Planning Tools and Comparative Analysis
Sammanfattning : As global urbanization progresses, cities worldwide are growing in size, which leads to many economic, environmental, and management challenges. Recent advancements in spatial data analysis and algorithmic geography have also led to the development of various urban model-based planning support systems (PSS) for urban planning. LÄS MER
2. Hydrogeochemistry and spatial variability of arsenic and other trace elements in the Lower Katari Basin around Lake Titicaca, Bolivian Altiplano. : Impact on drinking water quality and groundwater management
Sammanfattning : Arsenic (As) contamination in drinking water is a world-wide problem. Thenatural origin of As, its mobility and transport are of great interest in BolivianAltiplano (Lower Katari Basin: LKB and Sothern Poopó Basin: SPB) due topresence of mineral ore deposits, brines, hot springs and volcanic rocks. LÄS MER
3. Modeling Width in Spatial Optimization in Raster Space
Sammanfattning : Given a grid of cells, each of which is assigned a numerical value quantifying its utility (or cost) for a certain use, a popular type of problem in geographic information science is raster-based spatial optimization. Such problems commonly seek to find a set of cells that maximizes (or minimizes) that utility (or cost) while adhering to a given set of constraints. LÄS MER
4. Mapping Transcriptomes in Tissues
Sammanfattning : Over the past few decades, the advent of pioneering biotechnological methods has allowed scientists to analyze the molecular components of multicellular organisms with remarkable precision. The field of transcriptomics has witnessed a rapid development of technologies for gene expression profiling of biological samples. LÄS MER
5. Spatial mapping of bacteria and transcriptomes
Sammanfattning : Novel insights into biological functions and mechanisms, cell networks and evolutionary relationships are gained through development of sequencing technologies and sequencing based applications. Massively parallel sequencing has enabled analysis of big data at gene and protein expression levels, but has also characterized bacterial communities. LÄS MER