English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Current generation geospatial applications primarily rely on location representations that were developed for the manipulation anddisplay of planar maps of portions of the earth’s surface. The next generation of digital earth applications will require fundamentallynew technological approaches to location representation. Improvements in the efficiency of the representation of vector location canresult in substantial performance increases. We examine the advantages and limitations of the most common current approach: astuples of fixed-width floating point representations of real numbers, and identify a list of desirable design features for an optimalreplacement system. These include the use of explicitly discrete integer indexes, the use of an optimal quantification scheme, and theability to represent point locations at multiple precisions, including the capability to exactly represent key point locations, and theability to encode multi-precision quantizations. We describe a class of planar systems that meet these criteria, which we call CentralPlace Indexing (CPI) systems. We then extend these systems to the sphere to provide a class of optimal known fixed-widthgeospatial vector location representation systems we call CPI43 systems

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

On the Optimal Representation of Vector Location using Fixed-Width Multi-Precision Quantizers