This dataset lists census tracts that are recommended for identification as disproportionately impacted areas, according to Public Act 21-1, An Act Concerning Responsible and Equitable Regulation of Adult-Use Cannabis. "Disproportionately impacted area" means a census tract in the state that has a historical conviction rate for drug-related offenses greater than one-tenth, or an unemployment rate greater than ten percent, as determined by the Social Equity Council. This list of disproportionately impacted areas is expected to be considered by the Social Equity Council at the October 18, 2022 meeting.

OMC Disproportionately Impacted Area Map The data was collected from Delaware Criminal Justice Information System (DELJIS) database to comply with Title 4 Section 1336(1) that permits individuals to qualify and apply for a Social Equity License under the Marijuana Control Act if they lived for 5 of the preceding years in a disproportionately impacted area as defined in Title 4 Section 1302. Applicants will confirm their eligibility utilizing the DIA map.

A Disproportionately Impacted Area (DIA) is defined as an area in the State of Delaware identified by the Commissioner in collaboration with state and local agencies that have high rates of arrest, conviction, and incarceration relating to the sale, possession, use, cultivation, manufacture, or transport of marijuana. Ten years of marijuana arrest data has been plotted to identify those areas disproportionately impacted.

This statistic shows the areas in which digital disruption is most likely to impact private companies in the United States as of June 2018. Around 54% of respondents indicated that they believed "Operations" would be an area in which private companies are impacted by digital disruption.

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Provides a visual representation of areas that are of heightened concern for SDOT Street Use, whether because of intense development and construction activity, increased scrutiny, increased safety concerns, or other reason.

| Attibute Information: High_Impact_Areas_OD.pdf

| Update Cycle: As Needed
| Contact Email: DOT_IT_GIS@seattle.gov

Common SDOT Queries:
| SDOT HUBS
STATUS = 'HUB'

https://www.seattle.gov/transportation/projects-and-programs/programs/project-and-construction-coordination-office/construction-hub-coordination

The Community Foundation is one partner among many working to create a stronger, greater Atlanta region. Together with donors, nonprofits, funders, and others the Foundation seeks to impact the region and track progress through the Impact Area dashboard.The County Profiles tab has demographic and socioeconomic data for each county and the 23-county area as a whole. Each of the five impact areas has a tab with a unique set-up that shows metrics for that impact area. Dashboard link: http://neighborhoodnexus.org/case-studies/cfga/

CVS13 - Extent crime in their local area has impacted on persons life in the last 12 months. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Extent crime in their local area has impacted on persons life in the last 12 months...

Habitat loss and fragmentation due to human activities is the leading cause of the loss of biodiversity and ecosystem services. Protected areas are the primary response to this challenge and are the cornerstone of biodiversity conservation efforts. Roughly 15% of land is currently protected although there is momentum to dramatically raise protected area targets towards 50%. But, how much land remains in a natural state? We answer this critical question by using open-access, frequently updated data sets on terrestrial human impacts to create a new categorical map of global human influence ('Low Impact Areas') at a 1?km2 resolution. We found that 56% of the terrestrial surface, minus permanent ice and snow, currently has low human impact. This suggests that increased protected area targets could be met in areas minimally impacted by people, although there is substantial variation across ecoregions and biomes. While habitat loss is well documented, habitat fragmentation and differences in fragmentation rates between biomes has received little attention. Low Impact Areas uniquely enabled us to calculate global fragmentation rates across biomes, and we compared these to an idealized globe with no human-caused fragmentation. The land in Low Impact Areas is heavily fragmented, compromised by reduced patch size and core area, and exposed to edge effects. Tropical dry forests and temperate grasslands are the world's most impacted biomes. We demonstrate that when habitat fragmentation is considered in addition to habitat loss, the world's species, ecosystems and associated services are in worse condition than previously reported.

This data set contains ortho-rectified mosaic tiles at 0.35m GSD created for NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative in Hurricane Sandy coastal impacted areas. The source imagery was acquired from 20140101 to 20140421. The images were acquired with Intergraph/Leica DMC Sensor Systems. The original images were acquired at a higher resolution to support the final ortho-rectified mosaic.

As of March 2021, the most important impact areas for signatory banks of UN Principles for Responsible Banking (PRB) worldwide varied considerably between developed and developing countries. Climate change mitigation was by far the most important impact area for banks located in developed countries, identified by 90 percent of the respondents. On the other hand, this area was considered important by 62 percent of the banks located in developing countries. Additionally, 62 percent of respondents in developing countries identified financial inclusion as a significant impact area for their bank.

This is a report for all the relevant columns of DOH - The Amount Allocated, Obligated and Paid broken down by federal agency, program, vendor, project, county, and municipality.

This statistic shows the share of hours currently worked in selected areas of healthcare that could be freed up by automation by 2030. Medical equipment preparers and medical assistants are predicted to be the most impacted by the implementation of AI in healthcare.

Hurricanes Katrina and Rita made landfall in 2005, subjecting the coastal marsh communities of Louisiana to various degrees of exposure. We collected data after the storms at 30 sites within fresh (12), brackish/intermediate (12), and saline (6) marshes to document the effects of saltwater storm surge and sedimentation on marsh community dynamics. The 30 sites were comprised of 15 pairs. Most pairs contained one site where data collection occurred historically (that is, pre-storms) and one Coastwide Reference Monitoring System site. Data were collected from spring 2006 to fall 2007 on vegetative species composition, percentage of vegetation cover, aboveground and belowground biomass, along with discrete porewater salinity, hourly surface-water salinity, and water level. Where available, historical data acquired before Hurricanes Katrina and Rita were used to compare conditions and changes in ecological trajectories before and after the hurricanes. Sites experiencing direct and indirect hurricane influences (referred to in this report as levels of influence) were also identified, and the effects of hurricane influence were tested on vegetation and porewater data. Within fresh marshes, porewater salinity was greater in directly impacted areas, and this heightened salinity was reflected in decreased aboveground and belowground biomass and increased cover of disturbance species in the directly impacted sites. At the brackish/intermediate marsh sites, vegetation variables and porewater salinity were similar in directly and indirectly impacted areas, but porewater salinity was higher than expected throughout the study. Interestingly, directly impacted saline marsh sites had lower porewater salinity than indirectly impacted sites, but aboveground biomass was greater at the directly impacted sites. Because of the variable and site-specific nature of hurricane influences, we present case studies to help define post-disturbance baseline conditions in fresh, brackish/intermediate, and saline marshes. In fresh marshes, the mechanism of hurricane influence varied across the landscape. In the western region, saltwater storm surge inundated freshwater marshes and remained for weeks, effectively causing damage that reset the vegetation community. This is in contrast to the direct physical disturbance of the storm surge in the eastern region, which flipped and relocated marsh mats, thereby stressing the vegetation communities and providing an opportunity for disturbance species to colonize. In the brackish/intermediate marsh, disturbance species took advantage of the opportunity provided by shifting species composition caused by physical and saltwater-induced perturbations, although this shift is likely to be short lived. Saline marsh sites were not negatively impacted to a severe degree by the hurricanes. Species composition of vegetation in saline marshes was not affected, and sediment deposition appeared to increase vegetative productivity. The coastal landscape of Louisiana is experiencing high rates of land loss resulting from natural and anthropogenic causes and is experiencing subsidence rates greater than 10.0 millimeters per year (mm yr-1); therefore, it is important to understand how hurricanes influence sedimentation and soil properties. We document long-term vertical accretion rates and accumulation rates of organic matter, bulk density, carbon and nitrogen. Analyses using caesium-137 to calculate long-term vertical accretion rates suggest that accretion under impounded conditions is less than in nonimpounded conditions in the brackish marsh of the chenier plain. Our data also support previous studies indicating that accumulation rates of organic matter explain much of the variability associated with vertical accretion in brackish/intermediate and saline marshes. In fresh marshes, more of the variability associated with vertical accretion was explained by mineral accumulation than in the other marshes.

Sources:GDACS platform: https://www.gdacs.org/ Concepts:GDACS was created in 2004 as a cooperation framework between the United Nations and the European Commission, to address significant gaps in information collection and analysis in the early phase of major sudden-onset disasters. GDACS provides real-time access to disaster information systems and currently reports are issued for earthquakes and possible subsequent tsunamis, tropical cyclones, floods and volcanic eruptions. The platform includes Disaster Alerts, a virtual On-Site Operations Coordination Centre (OSOCC) to cooperate and exchange disaster-related real time information, and maps and satellite imagery. GDACS information and data are used by many governments, disaster response organizations, and researchers and are publicly available through the GDACS platform.The data provided by GDACS is utilized in the following manner: Scan GDACS data. We scan the GDACS data on an automated and daily basis to retrieve information on active disruptions​. From each disaster report, we extract three types of information: basic information, the polygon of the impacted area, and the affected population, that is the population that is in a certain proximity of the disaster. The basic information includes information on name, location, type, event severity, countries that are impacted, etc. To determine the severity of each disaster, GDACS produces a score. The score varies between 0 to 3, for which disasters with a score between 0 to 1 are marked green, 1 to 2 orange, and 2 to 3 red. For calculation of the severity score of each disaster type (earthquakes, tsunamis, tropical cyclones, floods, volcano, or droughts) different criteria are taken into consideration. For example, for details on how alert scores are calculated for Tropical Cyclones, please visit: https://www.gdacs.org/Knowledge/models_tc.aspx. As of now, we only consider disasters with a severity score of 2 to 3 (red).Intersect disaster impact area with PortWatch ports boundaries and chokepoints boundaries. For each disaster with a severity score above 2 (a disaster in red category), we intersect the extracted impact area from GDACS with the PortWatch ports and chokepoints. The PortWatch ports and chokepoints with boundaries within the disaster impact area are marked as disrupted ports. PortWatch alerts. We send out an email alert combining the information about the disaster disrupted ports and the satellite based data​ which provides real-time information on port calls and import and export activity through the disrupted ports. Click here to subscribe to our email alerts and other updates about the PortWatch platform.PortWatch disruption pages. We include the disruption in our disruption monitor. Users can access details on each disruption with detailed analysis on spillovers at connected ports and countries, along with the unfolding of the impact on the real-time data.Variables:eventid= unique id of the event.eventtype = one of earthquakes (EQ), wild fires (WF), tropical cyclones (TC), floods (FL), volcano (VO), or droughts (DR) or other - e.g. geopolitical tensions - (OT).eventname= short name for event.htmlname = descriptive version of the eventname. htmldescription = description of event.alertlevel = refer to GDACS alert levels. They are based on a risk matrix that considers the likelihood of societies being unable to cope with a disaster at the national level. The final score also takes into account the affected country's coping capacity, which is based on the INFORM Index. This index measures a country's ability to deal with disasters through organized activities, government efforts, and infrastructure. See https://www.gdacs.org/Knowledge/models_eq.aspx for more information.country = affected country(ies). Derived based on the intersected ports.fromdate = start date of the event.todate = end date of the event.lat = latitude coordinate of the centroid of the event polygon.long = longitude coordinate of the centroid of the event polygon.affectedports = list of ports that intersect with the disruption polygon.n_affectedports = number of ports that intersect with the disruption polygon.affectedpopulation = exposed population based on GDACS assessment.How to cite? These dataset combine data from the journal article published by researchers affiliated with Oxford University and calculations by the PortWatch team. The recommended citation is: “Sources: University of Oxford; IMF PortWatch (portwatch.imf.org).”

This product releases data on soil physical and hydraulic properties in the area affected by the 2011 Las Conchas Fire in New Mexico, USA. Soil samples were collected in the summer of 2015 to assess the state of the watershed following the 2011 wildfire. Data include soil-hydraulic properties of field-saturated hydraulic conductivity and sorptivity from tension infiltrometer measurements on soil cores. Soil physical properties include bulk density, as-sampled volumetric soil-water content, and saturated volumetric soil-water content for 6-cm length soil cores. Soil properties of soil-particle size, bulk density, and soil organic matter content from loss on ignition for soil core splits of 0-1. 1-3, and 3-6 cm depth. Photographs of each sampling site and the coring locations are also included in the data set.

This Data Release summarizes measurements of hydraulic and physical properties of soils and ash at sites in the area impacted by the 2017 Thomas Fire, USA. Physical properties include dry bulk density, loss on ignition, and saturated soil water content. Hydraulic properties include field-saturated hydraulic conductivity, sorptivity, Green-Ampt wetting front potential, and soil water retention. These measurements provide a foundation to reduce uncertainty of parameters in hydrologic models used to predict water-related hazards, water quality, and water quantity.

A slow-moving area of low pressure and a high amount of atmospheric moisture produced heavy rainfall across Louisiana and southwest Mississippi in August 2016. Over 31 inches of rain was reported in Watson, 30 miles northeast of Baton Rouge, over the duration of the event. The result was major flooding that occurred in the southern portions of Louisiana and included areas surrounding Baton Rouge and Lafayette along rivers such as the Amite, Comite, Tangipahoa, Tickfaw, Vermilion, and Mermentau. The U.S. Geological Survey (USGS) Lower Mississippi-Gulf Water Science Center operates many continuous, streamflow-gaging stations in the impacted area. Peak streamflows of record were measured at 10 locations, and seven other locations experienced peak streamflows ranking in the top 5 for the duration of the period of record. In August 2016, USGS personnel made fifty streamflow measurements at 21 locations on streams in Louisiana. Many of those streamflow measurements were made for the purpose of verifying the accuracy of the stage-streamflow relation at the associated gaging station. USGS personnel also recovered and documented 590 high-water marks after the storm event by noting the location and height of the water above land surface. Many of these high water marks were used to create twelve flood-inundation maps for selected communities of Louisiana that experienced flooding in August 2016. This data release provides the actual flood-depth measurements made in selected river basins of Louisiana that were used to produce the flood-inundation maps published in the companion product (Watson and others, 2017). Reference Watson, K.M., Storm, J.B., Breaker, B.K., and Rose, C.E., 2017, Characterization of peak streamflows and flood inundation of selected areas in Louisiana from the August 2016 flood: U.S. Geological Survey Scientific Investigations Report 2017–5005, 26 p., https://doi.org/10.3133/sir20175005.

🇺🇸 미국 English A slow-moving area of low pressure and a high amount of atmospheric moisture produced heavy rainfall across Louisiana and southwest Mississippi in August 2016. Over 31 inches of rain was reported in Watson, 30 miles northeast of Baton Rouge, over the duration of the event. The result was major flooding that occurred in the southern portions of Louisiana and included areas surrounding Baton Rouge and Lafayette along rivers such as the Amite, Comite, Tangipahoa, Tickfaw, Vermilion, and Mermentau. The U.S. Geological Survey (USGS) Lower Mississippi-Gulf Water Science Center operates many continuous, streamflow-gaging stations in the impacted area. Peak streamflows of record were measured at 10 locations, and seven other locations experienced peak streamflows ranking in the top 5 for the duration of the period of record. In August 2016, USGS personnel made fifty streamflow measurements at 21 locations on streams in Louisiana. Many of those streamflow measurements were made for the purpose of verifying the accuracy of the stage-streamflow relation at the associated gaging station. USGS personnel also recovered and documented 590 high-water marks after the storm event by noting the location and height of the water above land surface. Many of these high water marks were used to create twelve flood-inundation maps for selected communities of Louisiana that experienced flooding in August 2016. This data release provides the actual flood-depth measurements made in selected river basins of Louisiana that were used to produce the flood-inundation maps published in the companion product (Watson and others, 2017). Reference Watson, K.M., Storm, J.B., Breaker, B.K., and Rose, C.E., 2017, Characterization of peak streamflows and flood inundation of selected areas in Louisiana from the August 2016 flood: U.S. Geological Survey Scientific Investigations Report 2017–5005, 26 p., https://doi.org/10.3133/sir20175005.

On average, a 0.3 percent area in the continental United States was affected by exceptional drought (D4) throughout 2024. Possible impacts of D4 droughts are shortages of water in reservoirs, streams, and other water sources which can create water emergencies, in addition to possible substantial crop and pasture losses. The average area of the U.S. not affected by drought increased in 2023, after having experienced a continual annual decrease for the previous three years.

This dataset tracks annual science proficiency from 2021 to 2022 for Impact Charter School District vs. Louisiana