pyjeo: A Python Package for the Analysis of Geospatial Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F19%3A00334322" target="_blank" >RIV/68407700:21110/19:00334322 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.3390/ijgi8100461" target="_blank" >https://doi.org/10.3390/ijgi8100461</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/ijgi8100461" target="_blank" >10.3390/ijgi8100461</a>
Alternative languages
Result language
angličtina
Original language name
pyjeo: A Python Package for the Analysis of Geospatial Data
Original language description
A new Python package, pyjeo, that deals with the analysis of geospatial data has been created by the Joint Research Centre (JRC). Adopting the principles of open science, the JRC strives for transparency and reproducibility of results. In this view, it has been decided to release pyjeo as free and open software. This paper describes the design of pyjeo and how its underlying C/C++ library was ported to Python. Strengths and limitations of the design choices are discussed. In particular, the data model that allows the generation of on-the-fly data cubes is of importance. Two uses cases illustrate how pyjeo can contribute to open science. The first is an example of large-scale processing, where pyjeo was used to create a global composite of Sentinel-2 data. The second shows how pyjeo can be imported within an interactive platform for image analysis and visualization. Using an innovative mechanism that interprets Python code within a C++ library on-the-fly, users can benefit from all functions in the pyjeo package. Images are processed in deferred mode, which is ideal for prototyping new algorithms on geospatial data, and assess the suitability of the results created on the fly at any scale and location.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ISPRS International Journal of Geo-Information
ISSN
2220-9964
e-ISSN
2220-9964
Volume of the periodical
8
Issue of the periodical within the volume
10
Country of publishing house
CH - SWITZERLAND
Number of pages
14
Pages from-to
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UT code for WoS article
000498398300036
EID of the result in the Scopus database
2-s2.0-85075501482