In this demo paper we present ST_VISIONS, an easy-to-use Python library for interactive visualizations of spatial and spatio-temporal datasets. By automating the low-level details of the underlying visualization library (Bokeh), ST_VISIONS allows data scientists to create interactive, map-based visualizations, by writing Python code at a higher level of abstraction. Consequently, we accelerate the task of visualization from different sources, while we support interactive filtering, colorization, as well as multiple graphs, for various types of spatial and spatio-temporal data
We introduce a visual language for the specification of temporally changing spatial situations. The ...
Analyzing and understanding spatial data that varies over time is a complex task. Usually, the data ...
In this paper we focus on providing coordinated visual strategies to assist users in performing task...
In the paper we focus on the problem of supporting visual exploration of data having spatial and tem...
Adding a layer of interactivity to your plots and converting these plots into applications hold imme...
Using interactive maps to display and analyze meteorological data is crucial for understanding weath...
Scientific Visualization remains an integral and inevitable part of every meaningful scientific, ind...
This study aims to research on data visualization technology using Python language. Python is an ope...
This paper deals with some issues of visual exploratory analysis on geographic phenomena, which have...
Large datasets are becoming more and more common in science, particularly in neuroscience where expe...
The thesis is dedicated to the research of different Python libraries, exploring their functionaliti...
International audienceWhereas the availability of data increases exponentially fast, the current vis...
Technological advances, especially in remote sensing, GPS sensors, and computer vision and camera-ba...
This thesis solves visualization of large, specific and specialized graphic data used in science fie...
This work focuses on enabling the use of Python-based methods for the purpose of performing in situ ...
We introduce a visual language for the specification of temporally changing spatial situations. The ...
Analyzing and understanding spatial data that varies over time is a complex task. Usually, the data ...
In this paper we focus on providing coordinated visual strategies to assist users in performing task...
In the paper we focus on the problem of supporting visual exploration of data having spatial and tem...
Adding a layer of interactivity to your plots and converting these plots into applications hold imme...
Using interactive maps to display and analyze meteorological data is crucial for understanding weath...
Scientific Visualization remains an integral and inevitable part of every meaningful scientific, ind...
This study aims to research on data visualization technology using Python language. Python is an ope...
This paper deals with some issues of visual exploratory analysis on geographic phenomena, which have...
Large datasets are becoming more and more common in science, particularly in neuroscience where expe...
The thesis is dedicated to the research of different Python libraries, exploring their functionaliti...
International audienceWhereas the availability of data increases exponentially fast, the current vis...
Technological advances, especially in remote sensing, GPS sensors, and computer vision and camera-ba...
This thesis solves visualization of large, specific and specialized graphic data used in science fie...
This work focuses on enabling the use of Python-based methods for the purpose of performing in situ ...
We introduce a visual language for the specification of temporally changing spatial situations. The ...
Analyzing and understanding spatial data that varies over time is a complex task. Usually, the data ...
In this paper we focus on providing coordinated visual strategies to assist users in performing task...