Graham and White River Penstemon Distribution Assessment
Sector: Oil and Gas • Location: United States of America
Source: Grants.gov
Upon completion of the project, species distribution maps containing the probability of occurrence will be provided in raster format. Additionally, a report detailing the methods and results, coupled with all datasets used within the habitat assessment tools will be provided. This information will be used to assist developers and agencies avoid areas of potential conflict with listed species in
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Upon completion of the project, species distribution maps containing the probability of occurrence will be provided in raster format. Additionally, a report detailing the methods and results, coupled with all datasets used within the habitat assessment tools will be provided. This information will be used to assist developers and agencies avoid areas of potential conflict with listed species in the planning process of future oil and gas development. Task 1: Complete maximum entropy analysis on each of the species listed above. Task 2: Conduct secondary general-linear techniques, such as logistic regression, or clustering techniques, like random forests as time and data allow. Task 3: Provide species distribution maps containing probability of occurrence in raster format. Task 4: Provide a report detailing the methods and results, coupled with all datasets used within the habitat assessment tool. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
