2022_SpatialModelHyalomma_Marginatum_lusitanicum

Spatial Models CCHF vectors Hyalomma marginatum and Hyalomma lusitanicum 2022. 
Abstract: 
Ensembled spatial models were produced for CCHf vectors Hyalomma marginatum and  Hyalomma lusitanicum by combining Random Forest and Boosted Regression Trees spatial modelling outputs, implemented using the VECMAP modelling suite, using a standard set of covariates including Fourier Processed Remotely Sensed environmental variables, land use proportions, human population and elevation. The training data offered to the model process include point location and polygon data from the VectorNet project (https://www.ecdc.europa.eu/en/about-us/partnerships-and-networks/disease-and-laboratory-networks/vector-net) and from the Global Biodiversity Information Facility (www.gbif.org). 
 
  
The work was a collaboration with ECDC and the vector distributions produced by MOOD were used to mask CCHF models to improve the predicted distributions of the disease. The results are published in Messina JP, Wint GRW. The Spatial Distribution of Crimean-Congo Haemorrhagic Fever and Its Potential Vectors in Europe and Beyond. Insects. 2023 Sep 17;14(9):771. doi: 10.3390/insects14090771. PMID: 37754739; PMCID: PMC10532370.
 
File naming scheme:  
Four zipped archives are provided: two for probability ((VNHYxxyyyyPROBJUL22 = unmasked, VNHYxxyyyyPROBMASKEDJUL22= masked with calculated environmental suitability, XX: LU=lusitanica, MA=marginatum; yyyy=mean of replicates, max=max value of replicates, min = minimum value of replicates, std=standard deviation of replicates) and two for Presence absence (=>0.5) (VNHYxxyyyyPAJUL22 = unmasked, VNHYxxyyyyPAMASKEDJUL22= masked with calculated environmental suitability, XX: LU=lusitanica, MA=marginatum; yyyy=mean of replicates, max=max value of replicates, min = minimum value of replicates). 
 
Projection + EPSG code:
Latitude-Longitude/WGS84 (EPSG: 4326)
Spatial extent:
Extent  -32.0000000000000000,18.0000000000000000 : 68.9999999999999574,81.9999999999999716
Spatial resolution:
0.0083333 deg (approx. 1000 m)  
Temporal resolution:
Snapshot,  using training data to 2022
Pixel values:
 Cluster number and Predicted probability of presence
Source: 
point location and polygon data from the VectorNet project (https://www.ecdc.europa.eu/en/about-us/partnerships-and-networks/disease-and-laboratory-networks/vector-net), and from the Global Biodiversity Information Facility (www.gbif.org)
Software used:
The software used for modelling is VECMAP®
The software used for map production is ESRI ArcMap 10.8
License: CC-BY-SA 4.0
Processed by:
ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project