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1.
Modeling spatiotemporal domestic wastewater variability: Implications for measuring treatment efficiency.
J Environ Manage
; 351: 119680, 2024 Feb.
Article
in English
| MEDLINE | ID: mdl-38056325
2.
Technological opportunities for sensing of the health effects of weather and climate change: a state-of-the-art-review.
Int J Biometeorol
; 65(6): 779-803, 2021 Jun.
Article
in English
| MEDLINE | ID: mdl-33427946
3.
Exploring differences in spatial patterns and temporal trends of phenological models at continental scale using gridded temperature time-series.
Int J Biometeorol
; 64(3): 409-421, 2020 Mar.
Article
in English
| MEDLINE | ID: mdl-31720857
4.
Modelling and mapping tick dynamics using volunteered observations.
Int J Health Geogr
; 16(1): 41, 2017 11 14.
Article
in English
| MEDLINE | ID: mdl-29137670
5.
Short communication: emerging technologies for biometeorology.
Int J Biometeorol
; 61(Suppl 1): 81-88, 2017 Sep.
Article
in English
| MEDLINE | ID: mdl-28710523
6.
Self-organizing maps as an approach to exploring spatiotemporal diffusion patterns.
Int J Health Geogr
; 12: 60, 2013 Dec 23.
Article
in English
| MEDLINE | ID: mdl-24359538
7.
Modelling tick bite risk by combining random forests and count data regression models.
PLoS One
; 14(12): e0216511, 2019.
Article
in English
| MEDLINE | ID: mdl-31821325
8.
Temporal-Spatial Variation in Questing Tick Activity in the Netherlands: The Effect of Climatic and Habitat Factors.
Vector Borne Zoonotic Dis
; 19(7): 494-505, 2019 07.
Article
in English
| MEDLINE | ID: mdl-30810501
9.
Using volunteered observations to map human exposure to ticks.
Sci Rep
; 8(1): 15435, 2018 10 18.
Article
in English
| MEDLINE | ID: mdl-30337654
10.
A Workflow for Automated Satellite Image Processing: from Raw VHSR Data to Object-Based Spectral Information for Smallholder Agriculture.
Remote Sens (Basel)
; 9(10): 1048, 2017.
Article
in English
| MEDLINE | ID: mdl-32704488
11.
Developing a Workflow to Identify Inconsistencies in Volunteered Geographic Information: A Phenological Case Study.
PLoS One
; 10(10): e0140811, 2015.
Article
in English
| MEDLINE | ID: mdl-26485157
12.
Lilac and honeysuckle phenology data 1956-2014.
Sci Data
; 2: 150038, 2015.
Article
in English
| MEDLINE | ID: mdl-26306204
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