Journal: Journal of Parasitic Diseases: Official Organ of the Indian Society for Parasitology

Article Title: Spatio-temporal distribution analysis of zoonotic cutaneous leishmaniasis in Qom Province, Iran

doi: 10.1007/s12639-018-1036-5

Figure Lengend Snippet: Spatial autocorrelation–Moran’s I plotted on the study area map and overlaid with cutaneous leishmaniasis incidence in Qom province, central Iran during 2009–2017

Article Snippet: In order to investigate spatial variations of CL, the incidence of disease was calculated in all of 23 villages of the study years based on formula (Gordis 2009 ): Incidence = N u m b e r o f n e w c a s e s o c c u r i n g i n t h e p o p u l a t i o n i n a g i v e n p e r i o d o f t i m e N u m b e r o f p e o p l e e x p o s e d t o t h e r i s k o f t h e d i s e a s e i n t h e s a m e p e r i o d × 10 N Afterward, spatio-temporal analysis of the disease was performed using two analyzes: Kriging method and Spatial Moron correlation in GIS environment. fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window Fig. 1 caption a7 Incidence of cutaneous leishmaniasis incidence in the Qom province, central Iran, from 2009 to 2017 Kriging method is one of interpolation methods (Kleijnen 2009 ).

Techniques:

Journal: Scientific Reports

Article Title: A prediction model for soil heavy metal content based on improved tensor completion

doi: 10.1038/s41598-025-07565-7

Figure Lengend Snippet: The workflow of the improved tensor completion algorithm under the C2F framework. The interpolated data in this figure are generated from the soil heavy metal dataset, which was created using the ordinary Kriging interpolation method with ESRI ArcGIS 10.8 software ( https://www.esri.com ).

Article Snippet: The interpolated data in this figure are generated from the soil heavy metal dataset, which was created using the ordinary Kriging interpolation method with ESRI ArcGIS 10.8 software ( https://www.esri.com ).

Techniques: Generated, Software

Journal: Scientific Reports

Article Title: A prediction model for soil heavy metal content based on improved tensor completion

doi: 10.1038/s41598-025-07565-7

Figure Lengend Snippet: Kriging interpolation results for different metals. The interpolation results in this figure are generated from the soil heavy metal dataset, which was created using the ordinary Kriging interpolation method with ESRI ArcGIS 10.8 software ( https://www.esri.com ).

Article Snippet: The interpolated data in this figure are generated from the soil heavy metal dataset, which was created using the ordinary Kriging interpolation method with ESRI ArcGIS 10.8 software ( https://www.esri.com ).

Techniques: Generated, Software

Journal: Scientific Reports

Article Title: A prediction model for soil heavy metal content based on improved tensor completion

doi: 10.1038/s41598-025-07565-7

Figure Lengend Snippet: As completion process. The original heatmap in Fig. 3 are generated from the soil heavy metal dataset, which was created using the ordinary Kriging interpolation method with ESRI ArcGIS 10.8 software ( https://www.esri.com ).

Article Snippet: The interpolated data in this figure are generated from the soil heavy metal dataset, which was created using the ordinary Kriging interpolation method with ESRI ArcGIS 10.8 software ( https://www.esri.com ).

Techniques: Generated, Software