FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2396114017> ?p ?o ?g. }

• W2396114017 abstract "In the new millennium, Forest Inventory and Analysis (FIA) will deliver most of its database information directly to the users over the Internet. This assumption indicates the need for a GIS-based estimation system to support the information delivery system. Presumably, as the data set evolves, it will free FIA and the users from exclusive estimation within political boundaries. A data set of basal area measurements from a survey unit in Georgia is used to simulate one that might have been obtained had an annual inventory been conducted over a 5-year time interval. The simulated data set was used to investigate various estimators and any potential spatial correlation of basal area. The presence of spatial correlation, coupled with a desire to fulfill user needs to obtain estimates over individually defined elements of the spatial-temporal cube, forms the basis for an argument that a real-time GIS-based estimation system should be developed as the main information delivery vehicle for FIA. 1 Paper presented at the Second Annual Forest Inventory and Analysis (FIA) Symposium, Salt Lake City, UT, October 17–18, 2000. 2 Mathematical Statistician, USDA Forest Service, Southern Research Station, Asheville, NC 28804. INTRODUCTION As we approach the next millennium, it is apparent that we cannot consider how we might improve Forest Inventory and Analysis (FIA) estimation without first asking: “What are the major products of FIA likely to be?” That is, through which routes will we deliver the bulk of our inventory information? Most likely, we will deliver most of our information directly from the database over the Internet, not in the paper reports that have historically taken about 2 years to publish. To use the Internet effectively and efficiently, we must build an estimation system to adequately support the delivery of information that is more sensitive to the needs of its users. Insights into the needs of these users can come from myriad sources, but none so compelling as the reports of the two Blue Ribbon Panels, BRP I (Anonymous 1992) and BRP II (Anonymous 1998). These panels were formed specifically to provide suggestions for improving the FIA program. For instance, a concern over the potential misuse of FIA data resulted in the following statement from BRP I: “To maintain the credibility of the program, FIA, working together with experienced biometricians, must issue clear direction on the scientifically valid uses of FIA data without creating disincentives to innovation and advancement of technology” (Anonymous 1992). The best way to communicate scientifically valid uses of the information is to develop a system that can provide estimates in as many usable forms as possible. In this manner, FIA will provide scientifically defensible mechanisms from which to make estimates. FIA may still challenge inferences drawn from the estimates, but if the estimates themselves are sound, the scientific community can debate the validity of various resulting inferences. The second Blue Ribbon Panel reiterated and expanded the recommendations of the first in one specific recommendation: “Better analysis is necessary for improving customer service. More analysis of FIA data would be useful in improving and increasing customer service. While some FIA customers have the capability and inclination to analyze raw data themselves, other customers rely on outside sources to summarize and analyze the data for them” (Anonymous 1998). In addition, the second Blue Ribbon Panel charged FIA to “Produce the most current resource data possible.” The overwhelming consensus among panel members was that timeliness of resource data is of paramount importance: “Strengthening of Forest Service research and expertise in Geographic Information Systems (GIS), and collaboration with other agencies, could deliver immediate benefits. We urge the Forest Service to: “Reallocate funding within the Forest Service in order to reach the goal of timely resource data established in the first Blue Ribbon Panel report. Fully integrate GIS technology into the inventory process. Aggressively support and promote the annual inventory systems being established in the North Central and Southern FIA units. Based upon results from these efforts, establish a model for annual inventory to be adopted nationwide” (Anonymous 1998). To fully comprehend the needs of the users, we must first identify those users. FIA users include State foresters, university researchers, National Forest System employees, Forest Service researchers, military bases, other government and State agencies, forest industry, forestry consultants, and members of conservation and environmental groups. Their needs are as diverse as the groups themselves." @default.
• W2396114017 created "2016-06-24" @default.
• W2396114017 creator A5040866899 @default.
• W2396114017 date "2001-01-01" @default.
• W2396114017 modified "2023-09-24" @default.
• W2396114017 title "FIA Estimation in the New Millennium" @default.
• W2396114017 cites W2104193490 @default.
• W2396114017 cites W2143022286 @default.
• W2396114017 cites W2163479883 @default.
• W2396114017 cites W2319794630 @default.
• W2396114017 hasPublicationYear "2001" @default.
• W2396114017 type Work @default.
• W2396114017 sameAs 2396114017 @default.
• W2396114017 citedByCount "0" @default.
• W2396114017 crossrefType "journal-article" @default.
• W2396114017 hasAuthorship W2396114017A5040866899 @default.
• W2396114017 hasConcept C105795698 @default.
• W2396114017 hasConcept C119599485 @default.
• W2396114017 hasConcept C124101348 @default.
• W2396114017 hasConcept C127413603 @default.
• W2396114017 hasConcept C147103442 @default.
• W2396114017 hasConcept C159620131 @default.
• W2396114017 hasConcept C177264268 @default.
• W2396114017 hasConcept C180198813 @default.
• W2396114017 hasConcept C185429906 @default.
• W2396114017 hasConcept C199360897 @default.
• W2396114017 hasConcept C201995342 @default.
• W2396114017 hasConcept C205649164 @default.
• W2396114017 hasConcept C2522767166 @default.
• W2396114017 hasConcept C2779677306 @default.
• W2396114017 hasConcept C28631016 @default.
• W2396114017 hasConcept C33923547 @default.
• W2396114017 hasConcept C41008148 @default.
• W2396114017 hasConcept C41856607 @default.
• W2396114017 hasConcept C42475967 @default.
• W2396114017 hasConcept C58640448 @default.
• W2396114017 hasConcept C62649853 @default.
• W2396114017 hasConcept C96250715 @default.
• W2396114017 hasConcept C97137747 @default.
• W2396114017 hasConceptScore W2396114017C105795698 @default.
• W2396114017 hasConceptScore W2396114017C119599485 @default.
• W2396114017 hasConceptScore W2396114017C124101348 @default.
• W2396114017 hasConceptScore W2396114017C127413603 @default.
• W2396114017 hasConceptScore W2396114017C147103442 @default.
• W2396114017 hasConceptScore W2396114017C159620131 @default.
• W2396114017 hasConceptScore W2396114017C177264268 @default.
• W2396114017 hasConceptScore W2396114017C180198813 @default.
• W2396114017 hasConceptScore W2396114017C185429906 @default.
• W2396114017 hasConceptScore W2396114017C199360897 @default.
• W2396114017 hasConceptScore W2396114017C201995342 @default.
• W2396114017 hasConceptScore W2396114017C205649164 @default.
• W2396114017 hasConceptScore W2396114017C2522767166 @default.
• W2396114017 hasConceptScore W2396114017C2779677306 @default.
• W2396114017 hasConceptScore W2396114017C28631016 @default.
• W2396114017 hasConceptScore W2396114017C33923547 @default.
• W2396114017 hasConceptScore W2396114017C41008148 @default.
• W2396114017 hasConceptScore W2396114017C41856607 @default.
• W2396114017 hasConceptScore W2396114017C42475967 @default.
• W2396114017 hasConceptScore W2396114017C58640448 @default.
• W2396114017 hasConceptScore W2396114017C62649853 @default.
• W2396114017 hasConceptScore W2396114017C96250715 @default.
• W2396114017 hasConceptScore W2396114017C97137747 @default.
• W2396114017 hasLocation W23961140171 @default.
• W2396114017 hasOpenAccess W2396114017 @default.
• W2396114017 hasPrimaryLocation W23961140171 @default.
• W2396114017 hasRelatedWork W142247453 @default.
• W2396114017 hasRelatedWork W1546922693 @default.
• W2396114017 hasRelatedWork W1744186472 @default.
• W2396114017 hasRelatedWork W2189237058 @default.
• W2396114017 hasRelatedWork W2204598259 @default.
• W2396114017 hasRelatedWork W236386150 @default.
• W2396114017 hasRelatedWork W2364391718 @default.
• W2396114017 hasRelatedWork W2419701552 @default.
• W2396114017 hasRelatedWork W2474547710 @default.
• W2396114017 hasRelatedWork W2564973095 @default.
• W2396114017 hasRelatedWork W2610567023 @default.
• W2396114017 hasRelatedWork W2611013695 @default.
• W2396114017 hasRelatedWork W2741837839 @default.
• W2396114017 hasRelatedWork W2989764516 @default.
• W2396114017 hasRelatedWork W2991180852 @default.
• W2396114017 hasRelatedWork W3139063473 @default.
• W2396114017 hasRelatedWork W563365374 @default.
• W2396114017 hasRelatedWork W168847016 @default.
• W2396114017 hasRelatedWork W2188832937 @default.
• W2396114017 hasRelatedWork W2739294848 @default.
• W2396114017 isParatext "false" @default.
• W2396114017 isRetracted "false" @default.
• W2396114017 magId "2396114017" @default.
• W2396114017 workType "article" @default.