Results 11 to 20 of about 5,565,979 (320)

What We See, What We Don’t See: Data Governance, Archaeological Spatial Databases and the Rights of Indigenous Peoples in an Age of Big Data

open access: yesJournal of Field Archaeology, 2020
Archaeological spatial databases have the potential to enable deep insights into human history. These compilations of data are at the interface of data management and data visualization.
N. Gupta, Susan Blair, R. Nicholas
semanticscholar   +1 more source

Assembling Cultural and Natural Values in Vernacular Landscapes: An Experimental Analysis

open access: yesRemote Sensing, 2022
Cultural landscapes can host natural and cultural areas. However, often, this distinction is not clear cut and the attempts to clarify this blur the character of landscapes.
Pablo Altaba   +2 more
doaj   +1 more source

Deep Learning for Enrichment of Vector Spatial Databases

open access: yesACM Trans. Spatial Algorithms Syst., 2020
Spatial analysis and pattern recognition with vector spatial data is particularly useful to enrich raw data. In road networks, for instance, there are many patterns and structures that are implicit with only road line features, among which highway ...
G. Touya, Imran Lokhat
semanticscholar   +1 more source

SPATIAL DATABASES OF AGRONOMIC GEOINFORMATION SYSTEMS

open access: yesSiberian Journal of Life Sciences and Agriculture, 2022
The work is devoted to the development of spatial databases for the assessment of agricultural land. The geodatabase is aimed at geoinformation support of assessment, agroecological typing (groups, types of land) of agricultural lands, development of ...
Anna I. Pavlova
doaj   +1 more source

Global Center Point Splitting: New Linear Node Splitting Algorithm for R-Trees [PDF]

open access: yesمجلة جامعة النجاح للأبحاث العلوم الطبيعية, 2016
We introduce a new linear algorithm to split overflowed nodes of an R-tree index called the Global Center Point Splitting (GCPS) algorithm. The proposed method is an enhancement of the Quadratic splitting algorithm proposed by Guttmann (Guttman A, 1984 ...
Manar Arafat
doaj   +1 more source

Spatial Multi-Criteria Analysis of Water-Covered Areas: District City of Katowice—Case Study

open access: yesRemote Sensing, 2023
The following databases contains information on land use with water in Poland: Corine Land Cover (CLC), the Urban Atlas (UA); Database of Topographic Objects (BDOT) the digital Map of Poland’s Hydrographic Division (MPHP); and the Register of Lands and ...
Natalia Janczewska   +3 more
doaj   +1 more source

Spatial variation of feature density in multiscale topographic data

open access: yesGeography, Environment, Sustainability, 2023
Digital topographic maps are created in a series of scales from large to small, and the underlying spatial data is commonly organized as a multiscale database consisting of several levels of detail (LoDs). Spatial density of features (or spatial objects)
T. E. Samsonov   +3 more
doaj   +1 more source

Finding Visible kNN Objects in the Presence of Obstacles within the User’s View Field

open access: yesISPRS International Journal of Geo-Information, 2019
In many spatial applications, users are only interested in data objects that are visible to them. Hence, finding visible data objects is an important operation in these real-world spatial applications.
I-Fang Su   +3 more
doaj   +1 more source

Linking Off-Road Points to Routing Networks

open access: yesAlgorithms, 2022
Although graph theory has already been introduced in spatial reasoning, current spatial database systems do not provide out-of-the-box routing on geometric points that are not matched on the graph.
Dominik Köppl
doaj   +1 more source

From Partition-Based Clustering to Density-Based Clustering: Fast Find Clusters With Diverse Shapes and Densities in Spatial Databases

open access: yesIEEE Access, 2018
Spatial data clustering has played an important role in the knowledge discovery in spatial databases. However, due to the increasing volume and diversity of data, conventional spatial clustering methods are inefficient even on moderately large data sets,
Jiang Wang   +5 more
semanticscholar   +1 more source

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