An Improved Approach for Coordinate Conversion Between Adjacent Universal Transverse Mercator Coordinate Zones

Abstract. Historical maps rich in historical information play an important role in fields such as tourism and history education. However, for ordinary people without knowledge of historical studies, it is difficult to understand inaccurate old maps that have not undergone surveying and to comprehend them in comparison with the current city townscape. Therefore, conventionally in GIS, a large number of corresponding points are prepared between an inaccurate historical map and an accurate map, the coordinates of the historical map are converted by forming a triangular mesh and conducting coordinate complement calculation, and the entire historical map image is re-represented by coordinate conversion. However, as shown in Figure 1, with this method there is a serious problem that causes distortion in the aesthetic appearance of the historical map, and remarkable impairment. It can be said that this problem has greatly damaged opportunities to use historical maps for tourism and historical education.In this paper, we introduce our technology to solve this problem. Our technology has been implemented in the historical map viewer named Maplat, which is available at https://github.com/code4nara/Maplat as MIT-licensed open source.

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The Bovine Genome Variation Database (BGVD): Integrated Web-database for Bovine Sequencing Variations and Selective Signatures

10.1101/802223 ◽

2019 ◽

Cited By ~ 1

Author(s):

Ningbo Chen ◽

Weiwei Fu ◽

Jianbang Zhao ◽

Jiafei Shen ◽

Qiuming Chen ◽

...

Keyword(s):

Bovine Genome ◽

Distribution Patterns ◽

Global Scale ◽

Genomic Region ◽

Genome Browser ◽

Web Database ◽

Genome Variation ◽

Gene Search ◽

Variation Database ◽

Coordinate Conversion

AbstractNext-generation sequencing has yielded a vast amount of cattle genomic data for the global characterization of population genetic diversity and the identification of regions of the genome under natural and artificial selection. However, efficient storage, querying and visualization of such large datasets remain challenging. Here, we developed a comprehensive Bovine Genome Variation Database (BGVD, http://animal.nwsuaf.edu.cn/BosVar) that provides six main functionalities: Gene Search, Variation Search, Genomic Signature Search, Genome Browser, Alignment Search Tools and the Genome Coordinate Conversion Tool. The BGVD contains information on genomic variations comprising ∼60.44 M SNPs, ∼6.86 M indels, 76,634 CNV regions and signatures of selective sweeps in 432 samples from modern cattle worldwide. Users can quickly retrieve distribution patterns of these variations for 54 cattle breeds through an interactive source of breed origin map using a given gene symbol or genomic region for any of the three versions of the bovine reference genomes (ARS-UCD1.2, UMD3.1.1, and Btau 5.0.1). Signals of selection are displayed as Manhattan plots and Genome Browser tracks. To further investigate and visualize the relationships between variants and signatures of selection, the Genome Browser integrates all variations, selection data and resources from NCBI, the UCSC Genome Browser and AnimalQTLdb. Collectively, all these features make the BGVD a useful archive for in-depth data mining and analyses of cattle biology and cattle breeding on a global scale.

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Distribution patterns and conservation status of Crocus species in Iran, one of the diversity centers of Crocus in the Middle East

Folia Oecologica ◽

10.2478/foecol-2021-0016 ◽

2021 ◽

Vol 48 (2) ◽

pp. 156-168

Author(s):

Melika Tabasi ◽

Ahmadreza Mehrabian ◽

Sadaf Sayadi

Keyword(s):

Middle East ◽

Conservation Status ◽

Distribution Patterns ◽

Field Studies ◽

Distribution Data ◽

Herbarium Specimens ◽

Distribution Centers ◽

Boundary Area ◽

Universal Transverse Mercator ◽

Western Asia

Abstract Assessing distribution patterns of valuable taxa plays an important role in the biodiversity conservation of these taxa. The genus Crocus L. (Iridaceae) comprises about 100 species that are distributed mainly in the Mediterranean region and western Asia. The present study purposed to assess the distribution patterns of Iranian Crocus species (including C. sativus L. and 8 wild species) and their conservation status in Iran as one of diversity centers of Crocus in the Middle East. A set of geographic distribution data was compiled through field studies, and reviews of herbarium specimens, iNaturalist, and various Flora. Localities were marked on geo-referenced maps (1/106) of Iran using ArcView version 3.2 (Esri, 2000). The distribution patterns of the taxa were mapped per 0.25° × 0.25° universal transverse Mercator grid cells (25 km2 with the exception of boundary area). Based on the species distribution (SDI) (33%) and species specialization (SSI) (44%) indices, those Iranian Crocus species that are threatened are mainly distributed in Irano-Turanian region. The mountainous ecosystems of Almeh and Western Alborz are important distribution centers of these taxa. Iranian Crocus species with SSI < 0.5 (C. almehensis, C. gilanicus, C. michelsonii, and C. caspius) have the highest conservation value.

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Penentuan Lokasi Lumbung Pangan Berdasarkan Gravity Location Models dengan Koordinat UTM di Provinsi Maluku Utara

Jurnal Sains dan Edukasi Sains ◽

10.24246/juses.v1i2p7-16 ◽

2018 ◽

Vol 1 (2) ◽

pp. 7-16

Author(s):

Nafisah Riskya Hasna ◽

Adi Setiawan ◽

Hanna Arini Parhusip

Keyword(s):

Google Maps ◽

Location Models ◽

Universal Transverse Mercator

Salah satu usaha pemerintah dalam menyejahterakan masyarakat yaitu memenuhi kebutuhan pangan masyarakatnya. Pengendalian dalam penyediaan bahan pangan sangat diperlukan untuk dapat membantu dalam mengontrol distribusi bahan pangan. Dalam pengendalian penyediaan bahan pangan digunakan Gravity Location Models (GLM). GLM pada penelitian ini digunakan untuk menentukan suatu gudang yang berfungsi sebagai penghubung antara sumber-sumber pasokan dan beberapa lokasi sehingga dapat meminimalisasi biaya transportasi. Lokasi suatu gudang tersebut menggunakan koordinat geografis yang akan ditransformasikan ke koordinat UTM (Universal Transverse Mercator). Penelitian ini menggunakan data koordinat geografis pada Google Maps dan data jumlah penduduk, padi, jagung, dan ubi kayu Provinsi Maluku Utara Tahun 2014. Pengolahan data dilakukan secara manual dan menggunakan metode grid untuk mencari koordinat lokasi gudang atau lumbung pangan. Hasil dari perhitungan menggunakan (1) rumus dan (2) metode grid adalah koordinat lokasi lumbung pangan yang memiliki biaya transportasi minimum di Provinsi Maluku Utara yaitu terletak pada Kabupaten Halmahera Timur.

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