point density tool in arcgis software arcmap 10.1  (Esri inc)

Journal: Scientific Reports

Article Title: Citizen science substantiates jellyfish occurrence in the Mediterranean Sea

doi: 10.1038/s41598-025-05789-1

Figure Lengend Snippet: Map of the Mediterranean sectors bordering the Italian coastline. Map generated with ArcMap 10.8.2 (Esri, https://www.esri.com/en-us/arcgis/products/arcmap/overview ).

Article Snippet: To analyse the spatial distribution of blooms, we applied a Kernel Density Estimation (KDE) approach using the Point Density tool in ArcGIS software (ArcMap 10.1, Esri, www.esri.com ) following Silverman (1986) .

Techniques: Generated

Journal: Scientific Reports

Article Title: Citizen science substantiates jellyfish occurrence in the Mediterranean Sea

doi: 10.1038/s41598-025-05789-1

Figure Lengend Snippet: Maps of distribution of most frequent indigenous species (IS) from 2009 to 2016 categorized as predominantly western ( a ), eastern ( b ), widespread ( c ) or occasional/rare ( d ). Map generated with ArcMap 10.8.2 (Esri, https://www.esri.com/en-us/arcgis/products/arcmap/overview ).

Article Snippet: To analyse the spatial distribution of blooms, we applied a Kernel Density Estimation (KDE) approach using the Point Density tool in ArcGIS software (ArcMap 10.1, Esri, www.esri.com ) following Silverman (1986) .

Techniques: Western Blot, Generated

Journal: Scientific Reports

Article Title: Citizen science substantiates jellyfish occurrence in the Mediterranean Sea

doi: 10.1038/s41598-025-05789-1

Figure Lengend Snippet: Spatial distribution of the most frequent non-indigenous species (NIS) bloom events: Mnemiopsis leidyi . The colour gradient represents the results of a Kernel Density analysis, indicating the density of sightings of blooms. Areas with higher densities are shaded in red, while lower densities are shown in lighter colours. Map generated with ArcMap 10.8.2 (Esri, https://www.esri.com/en-us/arcgis/products/arcmap/overview ).

Article Snippet: To analyse the spatial distribution of blooms, we applied a Kernel Density Estimation (KDE) approach using the Point Density tool in ArcGIS software (ArcMap 10.1, Esri, www.esri.com ) following Silverman (1986) .

Techniques: Generated

Journal: Scientific Reports

Article Title: Citizen science substantiates jellyfish occurrence in the Mediterranean Sea

doi: 10.1038/s41598-025-05789-1

Figure Lengend Snippet: Maps showing the overall cumulative distribution of bloom events by seasons for: ( a ) the most common indigenous ( Pelagia noctiluca ), and ( b ) non-indigenous ( Mnemiopsis leidyi ) jellyfish species reported from 2009 to 2016. The colour gradient represents the results of a Kernel Density analysis, indicating the density of sightings of blooms. Areas with higher densities are shaded in red, while lower densities are shown in lighter colours. Map generated with ArcMap 10.8.2 (Esri, https://www.esri.com/en-us/arcgis/products/arcmap/overview ).

Article Snippet: To analyse the spatial distribution of blooms, we applied a Kernel Density Estimation (KDE) approach using the Point Density tool in ArcGIS software (ArcMap 10.1, Esri, www.esri.com ) following Silverman (1986) .

Techniques: Generated

Journal: Scientific Reports

Article Title: Citizen science substantiates jellyfish occurrence in the Mediterranean Sea

doi: 10.1038/s41598-025-05789-1

Figure Lengend Snippet: Map of Jellyfish Hotspot Overlap Index along the Italian coasts, based on kernel density estimation (60% threshold), showing areas with recurring multi-species blooms. Map generated with ArcMap 10.8.2 (Esri, https://www.esri.com/en-us/arcgis/products/arcmap/overview ).

Article Snippet: To analyse the spatial distribution of blooms, we applied a Kernel Density Estimation (KDE) approach using the Point Density tool in ArcGIS software (ArcMap 10.1, Esri, www.esri.com ) following Silverman (1986) .

Techniques: Generated

Journal: Scientific Reports

Article Title: Post-fire stabilization of thaw-affected permafrost terrain in northern Alaska

doi: 10.1038/s41598-024-58998-5

Figure Lengend Snippet: The Anaktuvuk River tundra fire study area. ( a ) Landsat-5 TM image acquired on 14 June 2008, the first summer after the Anaktuvuk River tundra fire, showing the  ~ 1000 km burn. The white cross-hatched polygon shows the extent of the Yedoma permafrost region in the burn area. The extent of the repeat LiDAR study area is outlined with the red box and the location of the ground temperature data logger in the unburned site is shown with the yellow dot. ( b ) Inset map showing a MODIS satellite image of northern Alaska and the location of the Anaktuvuk River fire burn area. ( c ) The 50 km repeat LiDAR study area showing the location of permafrost coring site, the ground temperature data logger, and the long-term vegetation plots from Jandt et al. . The location of Fig. is indicated with the white hatched rectangle. Map created in Esri® ArcMap™ 10.1.

Article Snippet: Map created in Esri® ArcMap™ 10.1.

Techniques: Northern Blot