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Record W2369787819

Dynamic evolution and optimization of green open space in Luoyang

2012· article· en· W2369787819 on OpenAlexaff
Meng Li

Bibliographic record

VenueGeographical Research · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicRemote Sensing and Land Use
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsSpecies evennessRiparian zoneGeographyRiparian forestEcologyHabitatSpecies diversity
DOInot available

Abstract

fetched live from OpenAlex

Optimization of open space plays a significant role in achieving sustainable development of ecological cities.Green open space system in Luoyang consists of 6 categories: product area,farmland and forest,riparian area,garden,road landscape area and auxiliary area.By using landscape pattern analysis,Structure Evenness Radio Index,Ecological Intensity Index,and Huff model,the paper examines the dynamic changes in area,shape and distribution of the open space from 1988 to 2008.It evaluates service capacity of the open space system before spatial distribution and demand-supply condition is optimized.Results are shown as follows.1) For the 20 years there is an increase in riparian areas,gardens,road landscape areas and auxiliary areas,while a decrease in product area,farmland and forest.Green space is abundant in Quadrants 2-5 and Rings 4-8,and less in Quadrants 7 and 8 and Rings 1,2,and 10.2) There are significant differences in Evenness Radio of all quadrants and rings.However,Quadrant 6 and Ring 5 show stable Evenness Radio,indicating gradual improvement of space distribution in riparian areas,gardens,road landscape areas and auxiliary areas.3) There is a notable increase in density of patches,with areas along the Luohe River and west fringe of the city having the highest value.Many patches have low Shape Index,though some regions see an increase.The patches generally display regular geometry shapes,which are obvious products of urban planning.4) Ecological Serving Intensity Index of 2008 is 0.288,and falls into Class III,being an ordinary level.Time costs for local residents visiting open space are high.Demand and supply of space service are out of balance for both the northern and southern parts of the city.5) The frame of overall design for open space system optimization is 1 center with 3 rings,4 belts with 3 axes,and 3 mountains with 4 wedges.The four levels of optimizing distribution pattern are green rings revolving,green corridors interweaving,green dots interspersing and background extending.Residence location and space distribution need to be modified to find the balance in demand and supply of space.Concrete measures should be taken to optimize the distribution and functionality of public open system.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score0.967

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.324
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2012
Admission routes1
Has abstractyes

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