The statistic shows the number of fatalities in Yosemite National Park in the United States from 2014 to 2021. In 2021, there were 9 fatalities in Yosemite.

The graph depicts the number of motor vehicle accidents in Yosemite National Park in the United States from 2013 to 2021. In 2021, there were 2019 motor vehicle accidents in Yosemite, up from the previous year's figure of 136.

Yosemite National Park, located in California’s Sierra Nevada mountains, accounted for a total of around 2.3 million visitors in 2020.

This data set contains small-scale base GIS data layers compiled by the National Park Service Servicewide Inventory and Monitoring Program and Water Resources Division for use in a Baseline Water Quality Data Inventory and Analysis Report that was prepared for the park. The report presents the results of surface water quality data retrievals for the park from six of the United States Environmental Protection Agency's (EPA) national databases: (1) Storage and Retrieval (STORET) water quality database management system; (2) River Reach File (RF3) Hydrography; (3) Industrial Facilities Discharges; (4) Drinking Water Supplies; (5) Water Gages; and (6) Water Impoundments. The small-scale GIS data layers were used to prepare the maps included in the report that depict the locations of water quality monitoring stations, industrial discharges, drinking intakes, water gages, and water impoundments. The data layers included in the maps (and this dataset) vary depending on availability, but generally include roads, hydrography, political boundaries, USGS 7.5' minute quadrangle outlines, hydrologic units, trails, and others as appropriate. The scales of each layer vary depending on data source but are generally 1:100,000.

Travel Trends collects and displays stats on popular tourists destinations and National Parks including Death Valley National Park.

This layer displays road incident data pulled from the NPS API road events endpoint. Data are pulled from the API and updated in this feature layer every 15 minutes. For more information about the NPS API, please see: https://www.nps.gov/subjects/developer/index.htm. The NPS road incident data are part of the Transportation Data Exchange. For more information about the Transportation Data Exchange, please see: https://github.com/usdot-jpo-ode/TDx/blob/main/README.md.The purpose of this feature layer is to communicate road incident information with park visitors and staff. Road incidents represent areas of park roads that may be affected by a variety of situations including but not limited to winter conditions, disaster damage and special events. Road incidents may result in vehicle impacts such as all lanes closed, some lanes closed, or alternating one-way traffic. Each incident may affect one or more roads and may include one or both road directions. See attribute table for more information about each road incident.IRMA Data Store Reference

It contains data such as date, day of the week, jurisdictional office, accident type, etc. for safety accidents that occurred in 2019 at Jirisan and Seoraksan National Parks.

The graph depicts the number of human-bear incidents in Yosemite National Park in the United States from 2013 to 2021. In 2021, there were 54 human-bear incidents in Yosemite, up from the previous year's figure of 38.

Yosemite National Park, located in California’s Sierra Nevada mountains, accounted for a total of around 2.3 million visitors in 2020.

Prevalence of mosquito-borne diseases reported in death valley national park, united states.

NCALM Project. PI: Thad Wasklewicz, East Carolina University. The survey area consisted of two polygons totaling 128 square km south of Badwater in Death Valley National Park. The survey took place over three flights from 5/29/2003 - 6/03/2003. Point cloud data are unclassified.

Publications associated with this dataset can be found at NCALM's Data Tracking Center

Rail- and vehicle-caused wildlife mortality and wildlife management destruction data for Banff National Park between the years 2005 and 2017. Each species mortality is recorded by date, location, count, age, gender, and cause. For more recent records please refer to “Human-wildlife coexistence incidents in selected national parks from 2010 to 2021 - Open Government Portal (canada.ca)”: https://open.canada.ca/data/en/dataset/cc5ea139-c628-46dc-ac55-a5b3351b7fdf

Monthly forecast of mosquito activity risk levels in death valley national park, united states.

Death Valley Ulusal Parkı ABD nin Kaliforniya ve Nevada eyaletlerinde bulunan ulusal park Death Valley Ulusal ParkıDeath

PI: Noah Snyder, Boston College. The survey area is a 38 square kilometer polygon near the Furnace Creek Inn and Ranch in Death Valley National Park, California. This area was flown on February 27, 2005. The data were collected to investigate transient response of a desert river to forced diversion. Bare-earth extraction was not performed on this dataset due to the scarceness of vegetation in the interest area.

Publications associated with this dataset can be found at NCALM's Data Tracking Center

This data is a spatial information-based accident history data on major disasters and safety accidents that occurred in Seoraksan National Park and Jirisan National Park. It systematically records the location and type of accident occurrence points to establish safety management measures and improve visitor safety services. The main items include the date of accident occurrence, accident location name, latitude and longitude coordinates, altitude, accident type (misstep, fall, fall, exhaustion, drowning, etc.), damage type (injury, death, etc.), activity type (hiking, camping, etc.), weather conditions, rescue time, rescue status, rescue agency, etc., and it is provided in CSV format. This data is used for various administrative and research purposes such as establishing national park disaster safety plans, predicting risk areas and installing signs, optimizing rescue resource allocation, analyzing seasonal accident frequency periods, and adjusting trail safety levels. It is also suitable for visualization and risk map production in conjunction with the national park integrated disaster safety platform and GIS-based spatial analysis tools.

PI: James Dolan, University of Southern California. The project area consists of two rectangular polygons covering an area of 38 square kilometers. Data were collected along the Furnace Creek and Fish Lake Valley Fault Zones in Death Valley National Park. The data were collected February 28, 2005. Bare-earth extraction was not performed on this dataset due to the scarceness of vegetation in the interest area.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. Cogan Technology, Inc. (CTI) created the digital vegetation map layer for the Death Valley National Park project area that covered 3,430,818 acres (1,389,486 ha). The resulting spatial database and vegetation map layer were created using a combination of 2020 (California) and 2019 (Nevada) National Agriculture Imagery Program (NAIP) basemap data, ground-based verification efforts, and a two-step, or hybrid mapping approach that used both manual and automated techniques. By comparing the vegetation signatures on the imagery to the field data, 90 map units (74 vegetated and 16 land-use/land-cover) were developed and used to delineate the plant communities. The interpreted vegetation polygons were then digitized into a Geographic Information System (GIS) layer that was field-tested, reviewed, and revised. The final DEVA vegetation map layer was assessed for overall thematic accuracy at 82% with a Kappa value of 89%.

This U.S. Geological Survey data release consists of a polygon geospatial dataset representing estimated flood-inundation areas in Grapevine Canyon near Scotty's Castle, Death Valley National Park, and the data acquired and processed to support the delineation of those areas. Supporting datasets include topographic survey data collected by global navigation satellite system (GNSS) and terrestrial laser scanner (TLS) in Grapevine Canyon from July 12-14, 2016; derivatives of those data; pebble count data collected in Grapevine Canyon; and an archive of the one-dimensional hydraulic model used to generate the flood-inundation area polygons. Specifically: 1)a point dataset of four static reference locations (StaticGNSS_x) collected by single-baseline Online Positioning User Service – Static (OPUS-S) GNSS surveys; 2)a point dataset of 38 TLS survey scan locations (ScanOrigins_x) collected by real-time kinematic (RTK) GNSS surveys; 3)a zip file of 42 point cloud files (GrapevineCanyon_LAZ.zip) collected at 38 scan locations by TLS surveys; 4)a point dataset of 769 ground control points (GroundControlPts_x) collected by RTK GNSS surveys; 5)a point dataset of filtered ground observations (TLS_FilteredGroundObs_x) from the TLS surveys; 6)a polygon dataset of the areas used to filter the ground observations (TLS_Filter_p); 7)a digital terrain model (GrapevineCanyon_TIN.zip) derived from the filtered ground observations as a triangulated irregular network (TIN) in North American Vertical Datum of 1988; 8)a comma-separated values (CSV) table of the locations and results of five Wohlman-style pebble counts (Wolman, 1954), collected at five sites within the study area (GrapevineCanyon_PebbleCounts.csv); 9)a zip file containing all relevant files to document and run the Hydrological Engineering Center-River Analysis System (HEC-RAS) one dimensional hydraulic model used to generate the flood-inundation area polygons (SWmodel_Archive.zip); 10)a polygon dataset of the estimated flood-inundation areas (GrapevineCanyonInundationAreas_p).

Devils Hole is a collapsed depression in limestone hills adjacent to the Ash Meadows National Wildlife Refuge that contains a warm-water pool about 15 meters below land surface. The pool is home to a unique species of desert pupfish Cyprinodon Diabolis that is listed as endangered. The population feeds and reproduces on a slightly submerged rock ledge. In 1952, a 16.2 hectare tract of land containing Devils Hole was incorporated into the Death Valley National Monument as a detached management area. The area is currently a part of Death Valley National Park. In the late 1960's and early 1970's irrigation pumping in Ash Meadows lowered the Devils Hole pool level and the pupfish were threatened with extinction. In 1973 the U.S. District Court granted a preliminary injunction from pumping that would lower the pool level more than 0.91 meters below the datum. The injunction was made permanent by the U.S. District Court and upon appeal the Supreme Court affirmed the lower court decision. In 1978 the U.S. District Court issued a permanent injunction to limit pumping to maintain a daily mean water level of 0.82 meters below the datum based on scientific studies. Water levels recovered in response to reduction and ultimately to cessation of pumping in Ash Meadows. By 1988 the pool level had recovered to about 0.3 meters below the pre-pumping level when it began to decline again. Concerns were raised that in the intermediate to long-term future the pool level would fall below the court mandated minimum level. Principle potential stresses causing long-term stage changes are considered to be regional ground-water pumping and changes in recharge. Water levels are measured in the pool on a continuous basis to monitor trends in water levels and to protect the endangered pupfish.

This is a basic web map for showing the Yosemite Search and Rescue missing person dataset that shows the initial planning point, point found, and direct line path between the two.For more information, please Jared Doke's MS Thesis: Analysis of Search Incidents and Lost Person Behavior in Yosemite National Park.Study of wilderness search and rescue (WiSAR) incidents suggests a dependency on demographics as well as physical geography in relation to decisions made before/after becoming lost and subsequent locations in which subjects are found. Thus an understanding of the complex relationship between demographics and physical geography could enhance the responders’ ability to locate the subject in a timely manner. Various global datasets have been organized to provide general distance and feature based geostatistical methods for describing this relationship. However, there is some question as to the applicability of these generalized datasets to local incidents that are dominated by a specific physical geography. This study consists of two primary objectives related to the allocation of geographic probability intended to manage the overall size of the search area. The first objective considers the applicability of a global dataset of lost person incidents to a localized environment with limited geographic diversity. This is followed by a comparison between a commonly used Euclidean distance statistic and an alternative travel-cost model that accounts for the influence of anthropogenic and landscape features on subject mobility and travel time. In both instances, lost person incident data from years 2000 to 2010 for Yosemite National Park is used and compared to a large pool of internationally compiled cases consisting of similar subject profiles.

Year, month, type of disaster, number of disaster incidents (cases), and loss days (person-days).