Feature layer generated from running the Merge Layers solution.

Feature layer generated from running the Merge Layers solution.

Feature layer generated from the Current Weather and Wind Station Data Living Atlas layer for the Learn ArcGIS lesson Predict weather with real-time data.

Centerpoints for aerial photographs in the UCSB Library collection. This is an export of the raw data from an in-house system used to catalog aerial photographs. It is used to drive a web map app on the UCSB Library's website: http://mil.library.ucsb.edu/ap_indexes/FrameFinder

Feature layer generated from running the Merge Layers solution.

Manual, heads up digitizing of Red Spruce habitat done by Cordie Diggins

REQUIRED: A brief narrative summary of the data set.

Want to view this data on a map? See City of Castle Pines Public Map

This ArcGIS model inserts a file name into a feature class attribute table. The tool allows an user to identify features by a field that reference the name of the original file. It is useful when an user have to merge multiple feature classes and needs to identify which layer the features come from.

The layer contains cluster of Bond and Capital Improvement projects in 2017 in the city of Dallas.This data layer represents a collection of Bond and Capital Improvement projects initiated in 2017 within the city of Dallas. It visually clusters these projects based on their geographic locations, providing an overview of where investments were concentrated. These projects likely include infrastructure upgrades, public facility improvements, and community development initiatives funded through the 2017 Bond Program. By analyzing this layer, city planners, stakeholders, and residents can gain insights into the distribution of resources and the areas that benefited from these investments.

Feature layer generated from running the Merge Layers solution.

Feature layer generated from running the Merge Layers solution.

Snapshot of all Cross roads, T Intersections, Dangerous Intersections, Circle, Y Intersections, Turns, Crossovers, Do Not Block Intersections, Large Arrows Two Directions, Turn Lane Signs, Advance Arrows, Merges, Diagonal Arrow of Approaching Roads, and lane must turn right or left signs in West Virginia as extracted by Mutcdname from an overall Sign Dataset. Datasets include RouteID, Sign ID Number, County Code, Route Number, Sub Route Number, Sign System, Supplemental Code, Supplemental Description, Direction, Milepoint, Number of Signs, Location, Mutcdname and Mutcode, Mutcdcat, Text, County, Photo URL, and XY Coordinates. Data is current as of 2015 and is updated as needed. Coordinate System: NAD_1983_UTM_Zone_17N

Feature layer generated from running the Merge Layers solution.

AvailableBike_Merge

scripts.zip

arcgisTools.atbx: terrainDerivatives: make terrain derivatives from digital terrain model (Band 1 = TPI (50 m radius circle), Band 2 = square root of slope, Band 3 = TPI (annulus), Band 4 = hillshade, Band 5 = multidirectional hillshades, Band 6 = slopeshade). rasterizeFeatures: convert vector polygons to raster masks (1 = feature, 0 = background).

makeChips.R: R function to break terrain derivatives and chips into image chips of a defined size. makeTerrainDerivatives.R: R function to generated 6-band terrain derivatives from digital terrain data (same as ArcGIS Pro tool). merge_logs.R: R script to merge training logs into a single file. predictToExtents.ipynb: Python notebook to use trained model to predict to new data. trainExperiments.ipynb: Python notebook used to train semantic segmentation models using PyTorch and the Segmentation Models package. assessmentExperiments.ipynb: Python code to generate assessment metrics using PyTorch and the torchmetrics library. graphs_results.R: R code to make graphs with ggplot2 to summarize results. makeChipsList.R: R code to generate lists of chips in a directory. makeMasks.R: R function to make raster masks from vector data (same as rasterizeFeatures ArcGIS Pro tool).

terraceDL.zip

dems: LiDAR DTM data partitioned into training, testing, and validation datasets based on HUC8 watershed boundaries. Original DTM data were provided by the Iowa BMP mapping project: https://www.gis.iastate.edu/BMPs. extents: extents of the training, testing, and validation areas as defined by HUC 8 watershed boundaries. vectors: vector features representing agricultural terraces and partitioned into separate training, testing, and validation datasets. Original digitized features were provided by the Iowa BMP Mapping Project: https://www.gis.iastate.edu/BMPs.

Feature layer generated from running the Merge Layers solution.

The data show how different types of rocks resist the flow of electrical currents across Ireland. The rock types can then be mapped. The data show the magnetic field strength of different rock types across Ireland. The rock types can then be mapped.The data show the intensity of gamma rays released by Uranium, Thorium and Potassium in different soils and rocks in Ireland. Different soils and rock types can then be mapped. The data were collected between 2005 and 2021.This report summarizes the main operations from the latest A8 and A9 surveys and discusses the processing of the acquired data and its merging with pre-existing datasets to produce seamless merged geophysical datasets. The A6 Block (west Cork) has a small overlap with A9 and is included in the merging of the current data. It is anticipated, however, that a better constrained merge of A6 will be possible after completion of subsequent survey blocks, which will provide more substantial overlap with A6. Several surveys were merged to create this dataset. (1) Tellus Northern Ireland 2005-2006(2) Cavan-Monaghan, 2006(3) Tellus Border, 2011-2012(4) Tellus North Midlands, 2014-2015(5) Block A1, 2015(6) Block A2, 2016(7) Waterford, 2016(8) Block A3, 2017(9) Block A4, 2017(10) Block A5, 2018-2019(11) Block A6, 2018-2019(12) Block A7, 2019(13) Block A8 2020-2021(14) Block A9 2021The Tellus project is a national survey which collects geochemical and geophysical data across Ireland. It allows us to study the chemical and physical properties of our soil, rocks and water. It is managed by the Geological Survey Ireland.

PJ opportunity areas (10% - 50% PJ) on state and private land in Rich-Morgan-Summit SGMA.

Feature layer contains merged census geographies for Florida Counties, State House & Senate Districts, Rural Counties, and Rural Areas of Opportunity.