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Edzer Pebesma
University of Münster
171Publications
30H-index
6,216Citations
Publications 175
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Earth observation data of large part of the world is available at different temporal, spectral and spatial resolution. These data can be termed as big data as they fulfil the criteria of 3 Vs of big data: Volume, Velocity and Variety. The size of image in archives are multiple petabyte size, the size is growing continuously and the data have varied resolution and usages. These big data have variety of applications including climate change study, forestry application, agricultural application and...
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#1Marius Appel (WWU: University of Münster)H-Index: 3
#2Edzer Pebesma (WWU: University of Münster)H-Index: 30
Earth observation data cubes are increasingly used as a data structure to make large collections of satellite images easily accessible to scientists. They hide complexities in the data such that data users can concentrate on the analysis rather than on data management. However, the construction of data cubes is not trivial and involves decisions that must be taken with regard to any particular analyses. This paper proposes on-demand data cubes, which are constructed on the fly when data users pr...
1 CitationsSource
#1Sören GebbertH-Index: 4
#2Thomas LeppeltH-Index: 2
Last.Edzer Pebesma (WWU: University of Münster)H-Index: 30
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Continental and global datasets based on earth observations or computational models challenge the existing map algebra approaches. The available datasets differ in their spatio-temporal extents and their spatio-temporal granularity, which makes it difficult to process them as time series data in map algebra expressions. To address this issue we introduce a new map algebra approach that is topology based. This topology based map algebra uses spatio-temporal topological operators (STTOP and STTCOP...
1 CitationsSource
#1Marek Smid (NOVA: Universidade Nova de Lisboa)H-Index: 3
#2Simone RussoH-Index: 11
Last.Edzer Pebesma (WWU: University of Münster)H-Index: 30
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Abstract In warming Europe, we are witnessing a growth in urban population with aging trend, which will make the society more exposed and vulnerable to extreme weather events. In the period 1950–2015 the occurrence of extreme heat waves increased across European capitals. As an example, in 2010 Moscow was hit by the strongest heat wave of the present era, killing more than ten thousand people. The cold extremes will have decreasing tendency as global warming progresses, however due to higher var...
5 CitationsSource
#2Roberto HenriquesH-Index: 6
Last.Edzer Pebesma (WWU: University of Münster)H-Index: 30
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An in-depth descriptive approach to the dynamics of the urban population is fundamental as a first step towards promoting effective planning and designing processes in cities. Understanding the behavioral aspects of human activities can contribute to their effective management and control. We present a framework, based on statistical methods, for studying the spatio-temporal distribution of geolocated tweets as a proxy for where and when people carry out their activities. We have evaluated our p...
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#1Iñaki UcarH-Index: 3
#2Edzer PebesmaH-Index: 30
Last.Arturo AzcorraH-Index: 19
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This paper presents an R package to handle and represent measurements with errors in a very simple way. We briefly introduce the main concepts of metrology and propagation of uncertainty, and discuss related R packages. Building upon this, we introduce the errors package, which provides a class for associating uncertainty metadata, automated propagation and reporting. Working with errors enables transparent, lightweight, less error-prone handling and convenient representation of measurements wit...
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#1Christian Kray (WWU: University of Münster)H-Index: 20
#2Edzer Pebesma (WWU: University of Münster)H-Index: 30
Last.Daniel Nüst (WWU: University of Münster)H-Index: 6
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#1Victor MausH-Index: 4
#2Gilberto CamaraH-Index: 4
Last.Edzer PebesmaH-Index: 30
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The opening of large archives of satellite data such as LANDSAT, MODIS and the SENTINELs has given researchers unprecedented access to data, allowing them to better quantify and understand local and global land change. The need to analyze such large data sets has led to the development of automated and semi-automated methods for satellite image time series analysis. However, few of the proposed methods for remote sensing time series analysis are available as open source software. In this paper w...
4 CitationsSource
#1Shivam Gupta (WWU: University of Münster)H-Index: 1
#2Edzer Pebesma (WWU: University of Münster)H-Index: 30
Last.Ana Cristina CostaH-Index: 11
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Air quality has had a significant impact on public health, the environment and eventually on the economy of countries for decades. Effectively mitigating air pollution in urban areas necessitates accurate air quality exposure information. Recent advancements in sensor technology and the increasing popularity of volunteered geographic information (VGI) open up new possibilities for air quality exposure assessment in cities. However, citizens and their sensors are put in areas deemed to be subject...
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Geographic data is growing in size and variety, which calls for big data management tools and analysis methods. To efficiently integrate information from high dimensional data, this paper explicitly proposes array-based modeling. A large portion of Earth observations and model simulations are naturally arrays once digitalized. This paper discusses the challenges in using arrays such as the discretization of continuous spatiotemporal phenomena, irregular dimensions, regridding, high-dimensional d...
1 CitationsSource
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