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Disciplines
(Field of Science):
- civil engineering, geodesy and transport (Engineering and Technology)
- environmental engineering, mining and energy (Engineering and Technology)
- socio-economic geography and spatial management (Social studies)
Ministry points: Help
| Year | Points | List |
|---|---|---|
| Year 2024 | 70 | Ministry scored journals list 2024 |
| Year | Points | List |
|---|---|---|
| 2024 | 70 | Ministry scored journals list 2024 |
| 2023 | 70 | Ministry Scored Journals List |
| 2022 | 70 | Ministry Scored Journals List 2019-2022 |
| 2021 | 70 | Ministry Scored Journals List 2019-2022 |
| 2020 | 70 | Ministry Scored Journals List 2019-2022 |
| 2019 | 70 | Ministry Scored Journals List 2019-2022 |
| 2018 | 15 | A |
| 2017 | 15 | A |
| 2016 | 15 | A |
| 2015 | 15 | A |
| 2014 | 15 | A |
| 2013 | 15 | A |
| 2012 | 15 | A |
| 2011 | 15 | A |
| 2010 | 20 | A |
Model:
Points CiteScore:
| Year | Points |
|---|---|
| Year 2022 | 3.3 |
| Year | Points |
|---|---|
| 2022 | 3.3 |
| 2021 | 3.3 |
| 2020 | 3.2 |
| 2019 | 2.8 |
| 2018 | 2.6 |
| 2017 | 2.2 |
| 2016 | 1.5 |
| 2015 | 1.2 |
| 2014 | 0.9 |
| 2013 | 0.8 |
| 2012 | 0.7 |
| 2011 | 0.7 |
Impact Factor:
Sherpa Romeo:
Papers published in journal
Filters
total: 7
Catalog Journals
Year 2021
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Estimators of covariance matrices in Msplit(q) estimation
PublicationThis paper proposes methods for the determination of covariance matrices of Msplit(q) estimators. The solutions presented here allow Msplit(q) estimation to be supplemented by the operations from the domain of accuracy analysis (especially that concerning estimators of parameters). Theoretical forms of covariance matrices of Msplit(q) estimators were established using the empirical influence functions and the equivalent covariance...
Year 2018
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High performance filtering for big datasets from Airborne Laser Scanning with CUDA technology
PublicationThere are many studies on the problems of processing big datasets provided by Airborne Laser Scanning (ALS). The processing of point clouds is often executed in stages or on the fragments of the measurement set. Therefore, solutions that enable the processing of the entire cloud at the same time in a simple, fast, efficient way are the subject of many researches. In this paper, authors propose to use General-Purpose computation...
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Reduction of measurement data before Digital Terrain Model generation vs. DTM generalisation
PublicationModern data acquisition technologies provide large datasets that are not always necessary in its entirety to properly accomplish the goal of the study. In addition, such datasets are often cumbersome for rational processing, and their processing is time and labour consuming. Therefore, methods that enable to reduce the size of the measurement dataset, such as the generalization of the Digital Terrain Model (DTM) or the reduction...
Year 2017
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The potential of Web-GIS and geovisual analytics in the context of marine cadastre
PublicationThe importance of the marine environment to human existence makes it imperative that information models represent the multidimensional nature of reality as closely as possible in order to facilitate good governance. Information regarding jurisdiction, as well as the effects of formal law and community interests on the marine environment (e.g. nature and spatial extents as well as rights, responsibilities, restrictions etc.) would...
Year 2016
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Investigation of long-range dependencies in the stochastic part of daily GPS solutions
PublicationThe long-range dependence (LRD) of the stochastic part of GPS-derived topocentric coordinates change (North, East, Up) results with relatively high autocorrelation values with a focus on self-similarity. One of the reasons for such self-similarity in the GPS time series are noises that are commonly recognised to prevail in the form of the flicker noise model. To prove the self-similarity of the stochastic part of GPS time series...
Year 2015
Year 2013
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Local variance factors in deformation analysis of non-homogenous monitoring networks
PublicationThis paper proposes a modification of the classical deformation analysis algorithm for non-homogeneous (e.g. linear-angular) monitoring networks. The basis for the proposed solution is the idea of local variance factors. The theoretical discussion was complemented with an example of its application on a simulated horizontal monitoring network. The obtained results confirm the usefulness of the proposed solution.
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