Evidence map›Paper›PMID 37180360›Full record

ArticleForests2019

Positioning Methods and the Use of Location and Activity Data in Forests.

Robert F Keefe, Ann M Wempe, Ryer M Becker, Eloise G Zimbelman, Emily S Nagler, Sophie L Gilbert, Christopher C Caudill

Abstract read
In one paragraph

Article in Forests, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Sensors for Digital Transformation in Smart Forestry.Sensors (Basel, Switzerland) · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Robert F KeefeDepartment of Forest, Rangeland and Fire Sciences, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA.
Ann M WempeDepartment of Forest, Rangeland and Fire Sciences, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA.
Ryer M BeckerDepartment of Forest, Rangeland and Fire Sciences, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA.
Eloise G ZimbelmanDepartment of Forest, Rangeland and Fire Sciences, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA.
Emily S NaglerDepartment of Forest, Rangeland and Fire Sciences, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA.
Sophie L GilbertDepartment of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA.
Christopher C CaudillDepartment of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA.

Funding

NIOSH CDC HHS U01 OH010841NIOSH CDC HHS U54 OH007544
6 · The paper itself

Abstract

In this paper, we provide an overview of positioning systems for moving resources in forest and fire management and review the related literature. Emphasis is placed on the accuracy and range of different localization and location-sharing methods, particularly in forested environments and in the absence of conventional cellular or internet connectivity. We then conduct a second review of literature and concepts related to several emerging, broad themes in data science, including the terms

Indexed as

activity recognitionbig datafisheriesforestrygeofenceGlobal Navigation Satellite SystemGlobal Positioning SystemInternet of Thingslocation-based servicesmesh networkpassive integrated transponderradio frequency identificationradio telemetryultra-widebandwearable technologywildland firewildlife

Identifiers

PMID37180360
PMCPMC10174273

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.