Business Analyst Layer: IT Heat map

UpdateWithTime_XYTableToPoint

The Kernel Density tool calculates the density of features in a neighborhood around those features.Kernel Density calculates the density of point features around each output raster cell. Conceptually, a smoothly curved surface is fitted over each point. The surface value is highest at the location of the point and diminishes with increasing distance from the point, reaching zero at the Search radius distance from the point. Only a circular neighborhood is possible. The volume under the surface equals the Population field value for the point, or 1 if NONE is specified. The density at each output raster cell is calculated by adding the values of all the kernel surfaces where they overlay the raster cell center. This layer is included in a storymap about the Panama City crayfish, a species listed as Threatened under the Endangered Species Act in 2022. Storymap link: https://fws.maps.arcgis.com/home/item.html?id=a791906fe3f8433eabadda5898184372

Topeka Pedestrian Priority Area Heat Map

Business Analyst Layer: Medical Devices Heat Map

Under the Natural Capital and Ecosystem Assessment (NCEA) Pilot, Natural England and the Botanical Society of Britain and Ireland (BSBI) have been working in partnership to use BSBI's vast database of plant records to inform the evidence base for tree-planting activities. Poorly targeted tree planting risks damaging wildlife and carbon-rich habitats, therefore using these data we aim to ensure that areas of high conservation value are preserved in the landscape. The summarised botanical value map provides an easily interpretable output which categorises monads (1 x 1 km grid squares) as being of Low, Moderate or High botanical value according to the presence of Rare, Scarce and Threatened (RST) plant species and/or the proportion of Priority Habitat Positive Indicator (PHPI) species that were recorded within the 1 x 1 km grid square between 1970 and 2022. The PHPI species are a combination of BSBI axiophytes, positive indicators for common standards monitoring and ancient woodland indicators. The dataset includes an overall botanical value, as well as values based on only the presence of RST plant species, and a value for each broad habitat type based on the PHPI species records. By viewing the different attributes, you can gain insights into how valuable a monad is for different habitat types and for plant species of conservation concern, as well as an indication of how well a particular monad has been surveyed. The categories of 'No indicators, poor survey coverage' and 'No indicators, good survey coverage' indicate where no indicator species have been recorded and survey coverage either is above or below a threshold of 3 'recorder days'. A 'recorder day' is defined as being when 40 or more species have been recorded on a single visit and 3 recorder days is assumed sufficient to achieve good survey coverage within a 1 x 1 km grid square. This map is not intended to be used to carry out detailed assessments of individual site suitability for tree planting, for which the RST plant species heatmap at 100 x 100 m resolution and the PHPI heatmaps at 1 x 1 km resolution have been developed by BSBI and Natural England. However, the summarised botanical value map can provide useful insights at a strategic landscape scale, to highlight monads of high value for vascular plants and inform spatial planning and prioritisation, and other land management decision-making. These should be used alongside other environmental datasets and local knowledge to ensure decisions are supported by the appropriate evidence. Please get in contact if you have any queries about the data or appropriate uses at botanicalheatmaps@naturalengland.org.uk.Datasets used:BSBI botanical heatmap data - BSBIOS Grids - OSONS Country boundaries - ONSCommon Standards Monitoring guidance - JNCC 2004BSBI's Axiophyte list - Walker 2018Ancient Woodland Indicators - Glaves et al. 2009Plantatt - Hill et al. 2004Further information can be found in the technical report at:Botanical Heatmaps and the Botanical Value Map: Technical Report (NERR110)Full metadata can be viewed on data.gov.uk.

The following dataset includes "Active Benchmarks," which are provided to facilitate the identification of City-managed standard benchmarks. Standard benchmarks are for public and private use in establishing a point in space. Note: The benchmarks are referenced to the Chicago City Datum = 0.00, (CCD = 579.88 feet above mean tide New York). The City of Chicago Department of Water Management’s (DWM) Topographic Benchmark is the source of the benchmark information contained in this online database. The information contained in the index card system was compiled by scanning the original cards, then transcribing some of this information to prepare a table and map. Over time, the DWM will contract services to field verify the data and update the index card system and this online database.This dataset was last updated September 2011. Coordinates are estimated. To view map, go to https://data.cityofchicago.org/Buildings/Elevation-Benchmarks-Map/kmt9-pg57 or for PDF map, go to http://cityofchicago.org/content/dam/city/depts/water/supp_info/Benchmarks/BMMap.pdf. Please read the Terms of Use: http://www.cityofchicago.org/city/en/narr/foia/data_disclaimer.html.

Business Analyst Layer: Aerospace Heat Map

this map shows the Covid cases around the US. it is displayed in heat map to show where more cases are found. for educational purposes.

In this blog I’ll share the workflow and tools used in the GIS part of this analysis. To understand where crashes are occurring, first the dataset had to be mapped. The software of choice in this instance was ArcGIS, though most of the analysis could have been done using QGIS. Heat maps are all the rage, and if you want to make simple heat maps for free and you appreciate good documentation, I recommend the QGIS Heatmap plugin. There are also some great tools in the free open-source program GeoDa for spatial statistics.

Source: Snapshot visualization of the daily count of boardings and alightings on the existing Miami-Dade transit system. A heatmap was utilized to highlight hotspots of system utilization.

Purpose: Tile layer utilized for visualization.

Contact Information: Charles Rudder (crudder@citiesthatwork.com)/ Alex Bell (abell@citiesthatwork.com)

The web map shows map about homelessness service requests over the 30 days and it has three main layers.One of the layers contains service requests for both open and closed status and the other two contain open and closed status respectively.The web map also contains base maps.This Map feeds this dashboard: https://dallasgis.maps.arcgis.com/home/item.html?id=ccd41f0d795f407a94ae17e2c27bf073

Business Analyst Layer: Los Angeles County Aerospace Cluster Heat Map

The heat map below depicts the Top 50 Cities where ACCA patrons come from, with the Top 20 Cities labeled on the map in a graph indicating the number of tickets issued to patrons from that city and the percentage of total tickets issued that city represents.Numbers reflect percent of the entire 336,613 tickets issued in 2024. Total Attendance does not include Paramount School of the Arts Enrollment (1,240) or Christkindlmarket attendance (275,000) in 2024.Total Cities: 1,589Total Tickets: 336,613This heat map was developed internally by the Aurora Civic Center Authority and provided to the City of Aurora Data Analytics Division.

Business Analyst Layer: Cabelas Heatmap

Parcels downloaded from LINZ weekly, includes historic parcels and temporal information. Contains primary, secondary and tertiary parcels.Polygons within this layer have a nominal accuracy of 0.1-1m in urban areas and 1-100m in rural areas. For more detailed information about parcel accuracies please refer to the Survey Boundary Marks layer which contains accuracies for each parcel node.

The map simulates a chain of coffee stores in Manhattan. The heat map layer helps explain the public's impression that "there's one on every corner."A simple map of store locations is useful to a point. When the map's symbols start to "stack up" on one another, a heat map can often help visualize the local area better than the collective "dots on the map" can.The data in this map was created for demonstration purposes only.

Local Storm Reports dated 2008 January 1st to 2023 April 7th. Typecode of flash flood was filtered out and a heatmap was created in feature layer.

Business Analyst Layer: Bio-Technology Heat map

Business Analyst Layer: Bass Pro Shops Heatmap