Journal: Scientific Reports

Article Title: Prediction of global marginal land resources for Pistacia chinensis Bunge by a machine learning method

doi: 10.1038/s41598-022-09830-5

Figure Lengend Snippet: Distribution of global P. chinensis occurrence records layering over the global environmental suitability for P. chinensis to visually verify the accuracy of model prediction [Figure was created with ArcGIS Desktop (ESRI, Inc, Version 10.2, https://desktop.arcgis.com )].

Article Snippet: [Figure was created with ArcGIS Desktop (ESRI, Inc, Version 10.2, https://desktop.arcgis.com )].

Techniques:

Journal: Scientific Reports

Article Title: Prediction of global marginal land resources for Pistacia chinensis Bunge by a machine learning method

doi: 10.1038/s41598-022-09830-5

Figure Lengend Snippet: Visualized uncertainty in spatial prediction on the basis of standard deviation values computed for each pixel across the model ensemble. [Figure was created with ArcGIS Desktop (ESRI, Inc, Version 10.2, https://desktop.arcgis.com )].

Article Snippet: [Figure was created with ArcGIS Desktop (ESRI, Inc, Version 10.2, https://desktop.arcgis.com )].

Techniques: Standard Deviation

Journal: Scientific Reports

Article Title: Prediction of global marginal land resources for Pistacia chinensis Bunge by a machine learning method

doi: 10.1038/s41598-022-09830-5

Figure Lengend Snippet: Predicted global environmental suitability for P. chinensis ranging from high (dark greenish blue) to low (light gray) [Figure was created with ArcGIS Desktop (ESRI, Inc, Version 10.2, https://desktop.arcgis.com )].

Article Snippet: [Figure was created with ArcGIS Desktop (ESRI, Inc, Version 10.2, https://desktop.arcgis.com )].

Techniques:

Journal: Scientific Reports

Article Title: Prediction of global marginal land resources for Pistacia chinensis Bunge by a machine learning method

doi: 10.1038/s41598-022-09830-5

Figure Lengend Snippet: Map of the potential marginal land resources suitable for P. chinensis planting classified by land-use type [Figure was created with ArcGIS Desktop (ESRI, Inc, Version 10.2, https://desktop.arcgis.com )].

Article Snippet: [Figure was created with ArcGIS Desktop (ESRI, Inc, Version 10.2, https://desktop.arcgis.com )].

Techniques:

Journal: Journal of Veterinary Diagnostic Investigation : Official Publication of the American Association of Veterinary Laboratory Diagnosticians, Inc

Article Title: A two-year prospective study of small poultry flocks in Ontario, Canada, part 1: prevalence of viral and bacterial pathogens

doi: 10.1177/1040638719843577

Figure Lengend Snippet: Choropleth map of Ontario, Canada, subdivided by forward sortation areas (first 3 characters of the postal code). The number of submissions from each area is represented using a heat map, with lighter colors denoting low numbers and darker colors denoting high numbers. The locations of the 2 Animal Health Laboratories are identified.

Article Snippet: A choropleth map (ArcGIS 10.2.1; Environmental Systems Research Institute, Redlands, CA) was used to illustrate the distribution and density of submissions by forward sortation area (first 3 characters of the postal code) across Ontario.

Techniques:

Journal: BMC Infectious Diseases

Article Title: Tuberculosis burden caused by migrant population in Eastern China: evidence from notification records in Zhejiang Province during 2013–2017

doi: 10.1186/s12879-022-07071-5

Figure Lengend Snippet: Map of Notified TB Incidence among MP ( A ) and its Prediction Map by IDW ( B ). A The height of the five columns in each region represents notification incidence and year; B Different colored circles represent different risk layers, with red having the highest risk and blue having the lowest risk. These were created by ArcGIS software (version 10.2, ESRI Inc.; Redlands, CA, USA); URL https://www.esri.com/

Article Snippet: ArcGIS software (version 10.2, SERI Inc.; Redlands, CA, USA) and SaTScan (version 9.1.1, Boston, MA, USA) were used to depict spatial and spatial–temporal results.

Techniques: Software

Journal: BMC Infectious Diseases

Article Title: Tuberculosis burden caused by migrant population in Eastern China: evidence from notification records in Zhejiang Province during 2013–2017

doi: 10.1186/s12879-022-07071-5

Figure Lengend Snippet: Local Getis's Gi Results of Hot Spot and Cold Spot for Notified TB Incidence among MP in Zhejiang Province. The local Getis's Gi had identified the hot spot and cold spot with different colors. Hot spot implied the potential clusters of TB epidemic in migrants, and cold spot hinted low TB risk among MP in these regions. These were created by ArcGIS software (version 10.2, ESRI Inc.; Redlands, CA, USA); URL https://www.esri.com/

Article Snippet: ArcGIS software (version 10.2, SERI Inc.; Redlands, CA, USA) and SaTScan (version 9.1.1, Boston, MA, USA) were used to depict spatial and spatial–temporal results.

Techniques: Software

Journal: BMC Infectious Diseases

Article Title: Tuberculosis burden caused by migrant population in Eastern China: evidence from notification records in Zhejiang Province during 2013–2017

doi: 10.1186/s12879-022-07071-5

Figure Lengend Snippet: Spatial–temporal Clustering of Notified TBMP from 2013 to 2017 in Zhejiang Province. This map showed one most likely cluster and four secondary clusters with different time dimensions during the study period. The red regions showed the most likely cluster with 25 counties and an RR value of 1.48. This map was created by ArcGIS software with the Homepage of https://www.esri.com/ (version 10.1, ESRI Inc.; Redlands, CA, USA) and SaTScan software (version 9.1.1, Boston, MA, USA). SaTScan TM is a trademark of Martin Kulldorff. The SaTScan TM software was developed under the joint auspices of (i) Martin Kulldorff, (ii) the National Cancer Institute, and (iii) Farzad Mostashari of the New York City Department of Health and Mental Hygiene

Article Snippet: ArcGIS software (version 10.2, SERI Inc.; Redlands, CA, USA) and SaTScan (version 9.1.1, Boston, MA, USA) were used to depict spatial and spatial–temporal results.

Techniques: Software