ScholarGate
Assistent

Sammenlign metoder

Gennemgå dine valgte metoder side om side; rækker, der afviger, er fremhævet.

Map Algebra×Mindsteomkostningssti / Omkostningsafstands-analyse×
FagområdeRumlig analyseRumlig analyse
FamilieProcess / pipelineProcess / pipeline
Oprindelsesår19901994
OphavspersonDana TomlinEdsger Dijkstra (shortest path); GIS cost-surface adaptation
TypeRaster spatial analysis frameworkRaster cost-surface routing
Oprindelig kildeTomlin, C. D. (1990). Geographic Information Systems and Cartographic Modeling. Prentice Hall. ISBN: 978-0-13-350927-4Dijkstra, E. W. (1959). A note on two problems in connexion with graphs. Numerische Mathematik, 1(1), 269–271. DOI ↗
AliasserCartographic Modeling, Raster Algebra, Grid Algebra, Harita Cebiricost-distance analysis, accumulated cost surface, least-cost corridor, en düşük maliyetli yol
Relaterede33
ResuméMap Algebra is a rule-based language and computational framework for deriving new raster layers from existing ones by applying arithmetic, logical, or statistical operations cell by cell or across neighborhoods. Formalized by Dana Tomlin in 1990, it is the foundational algebraic system underlying raster GIS analysis and is widely used in environmental science, urban planning, hydrology, and land-use modeling whenever spatially explicit calculations on gridded data are required.Least-cost path analysis finds the route between two locations that minimizes accumulated travel cost across a landscape, rather than minimizing straight-line distance. By encoding terrain, slope, land cover, and other frictions into a cost surface and accumulating cost outward from a source, it identifies optimal corridors for roads, pipelines, trails, power lines, and wildlife movement — a core raster-GIS technique built on Dijkstra's shortest-path logic.
ScholarGateDatasæt
  1. v1
  2. 1 Kilder
  3. PUBLISHED
  1. v1
  2. 2 Kilder
  3. PUBLISHED

Gå til søgning Hent slides

ScholarGateSammenlign metoder: Map Algebra · Least-Cost Path. Hentet 2026-06-17 fra https://scholargate.app/da/compare