Sökning: "Temporal data visualization"
Visar resultat 1 - 5 av 26 uppsatser innehållade orden Temporal data visualization.
1. A space-time shape for easier spatiotemporal visualization in traffic networks
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : Modern big data systems are enabling new possibilities that never were thought possible in the past. The ability to gather massive data on an individual level has made fields like space-time geography bloom in the latest decennia. The usage of shapes in a 3D space allows us to visualize certain phenomena over time. LÄS MER
2. FROM SPACE TO THE SUBSURFACE. Examining Relations Between Vegetation Indices and Local Groundwater Storage.
Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaperSammanfattning : This study aimed to examine the relationship between vegetation indices, NDVI and NDWI, and groundwater levels in the county of Kalmar, utilizing correlation and regression analysis. Further, by examining related geospatial features the study aimed to interpret the statistical outcomes to identify significant temporal and spatial patterns. LÄS MER
3. Evaluating clustering techniques in financial time series
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : This degree project aims to investigate different evaluation strategies for clustering methodsused to cluster multivariate financial time series. Clustering is a type of data mining techniquewith the purpose of partitioning a data set based on similarity to data points in the same cluster,and dissimilarity to data points in other clusters. LÄS MER
4. From Keystrokes to Cognitive Processes : Analyzing Morphological Knowledge Using Keystroke Logging
Magister-uppsats, Umeå universitet/Institutionen för psykologiSammanfattning : The development of keystroke logging programs and their use to study the writing process affords an opportunity to combine keystroke logging together with diagnostic tests to provide further information about the test-taking process beyond the given answers. This exploratory study provides a starting point for the usage of keystroke logging programs when taking diagnostic linguistic tests. LÄS MER
5. Multimodal Machine Learning in Human Motion Analysis
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Currently, most long-term human motion classification and prediction tasks are driven by spatio-temporal data of the human trunk. In addition, data with multiple modalities can change idiosyncratically with human motion, such as electromyography (EMG) of specific muscles and respiratory rhythm. LÄS MER