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Artículos de revistas sobre el tema "Geospatial APIs"

Autor: Grafiati

Publicado: 10 de marzo de 2023

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1

Eldawy, Ahmed, and Gobe Hobona. "The 2nd ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs (SpatialAPI 2020)." SIGSPATIAL Special 12, no. 3 (2021): 20–22. http://dx.doi.org/10.1145/3447994.3448003.

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With the increasing amount of publicly available geospatial data, the demand on spatial data exploration and analysis kept growing. The SIGSPATIAL community is both a provider of new systems with cutting-edge technology on accessing and processing geospatial data, and a user for all these systems. The SpatialAPI workshop is designed to help the SIGSPATIAL community by growing the knowledge of the existing well-established systems that are available for accessing and processing geospatial data. This includes, but is not limited to, web APIs, programming libraries, database systems, and geospati

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2

Mooney, P., and M. Minghini. "GEOSPATIAL DATA EXCHANGE USING BINARY DATA SERIALIZATION APPROACHES." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W1-2022 (August 6, 2022): 307–13. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-307-2022.

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Abstract. In this paper we investigate the benefits of binary data serialization as a means of storing and sharing large amounts of geospatial data in an interoperable way. De-facto text-based exchange encodings typically exposed by modern Application Programming Interfaces (APIs), including eXtensible Markup Language (XML) and JavaScript Object Notation (JSON), are generally inefficient for an increasingly higher number of applications due to their inflated volumes of data, low speed and the high computational cost for parsing and processing. In this work we consider comparisons of JSON/Geosp

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3

Tischler, Michael A. "Accelerating Geospatial Modeling in ArcGIS with Graphical Processor Units." International Journal of Applied Geospatial Research 7, no. 4 (2016): 41–52. http://dx.doi.org/10.4018/ijagr.2016100104.

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Geospatial data can be enormous in size and tedious to process efficiently on standard computational workstations. Distributing the processing tasks through highly parallelized processing reduces the burden on the primary processor and processing times can drastically shorten as a result. ERSI's ArcGIS, while widely used in the military, does not natively support multi-core processing or utilization of graphic processor units (GPUs). However, the ArcPy Python library included in ArcGIS 10 provides geospatial developers with the means to process geospatial data in a flexible environment that ca

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4

Folmer, E., W. Beek, and L. Rietveld. "LINKED DATA VIEWING AS PART OF THE SPATIAL DATA PLATFORM OF THE FUTURE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W8 (July 11, 2018): 49–52. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w8-49-2018.

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<p><strong>Abstract.</strong> The Land Registry and Mapping Agency of the Netherlands (‘Kadaster’ in Dutch) is developing an online publication platform for sharing its geospatial data assets called KDP (`Kadaster Data Platform’ in Dutch). One of the main goals of this platform is to better share geospatial data with the wider, web-oriented world, including its developers, approaches, and standards. Linked Open Data (W3C), GeoSPARQL (OGC), and Open APIs (OpenAPI Specification) are the predominant standardized approaches for this purpose. As a result, the most important spatia

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Virtanen, Juho-Pekka, Arttu Julin, Kaisa Jaalama, and Hannu Hyyppä. "Creating Open Online Applications with Geospatial Interfaces - Case Study "Palvelututka"." Photogrammetric Journal of FInland 27, no. 2 (2021): 1–14. http://dx.doi.org/10.17690/021272.1.

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Three-dimensional city models are an increasingly common data set maintained by many cities globally. At the same time, the focus of research has shifted from their production to their utilization in application development. We present the implementation of a demonstrator application combining the online visualization of a 3D city information model with the data from an application programming interface. By this, we aim to demonstrate the combined use of city APIs and 3D geospatial assets, promote their use for application development and show the performance of existing, openly available tool

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6

Zhang, H., W. Huang, J. Jiang, M. Du, and J. Yang. "A HIGH-CURRENCY GEO-SPATIAL SERVICE GATEWAY FOR NATIONAL GEO-INFORMATION SERVICE PLATFORM." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021 (June 30, 2021): 383–88. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2021-383-2021.

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Abstract. Today, more and more geospatial services are provided by the governments and enterprises to share various geographic information data and functions, and services-based application integration has become a trend. However, many problems existed in the geo-platform for Geographic information sharing while providing services in the form of API, such as the coexistence of different versions of the same service, similar service routes of different APIs, cluttered service protocols, and complex authority management, that makes the integration among different geographic information services

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7

Simoes, J., and A. Cerciello. "SERVING GEOSPATIAL DATA USING MODERN AND LEGACY STANDARDS: A CASE STUDY FROM THE URBAN HEALTH DOMAIN." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W1-2022 (August 6, 2022): 419–25. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-419-2022.

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Abstract. The eMOTIONAL Cities project sets out to understand how the natural and built environment can shape the feelings and emotions of those who experience it. It does so with a cross-disciplinary approach which includes urban planners, doctors, psychologists, neuroscientists and engineers. At the core of this research project, lies a Spatial Data Infrastructure (SDI) which assembles datasets that characterise the emotional landscape and built environment, in different Cities across Europe and the US. The SDI is a key tool, not only to make the research data available within the project co

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8

Bhattacharya, D., and M. Painho. "DESIGN FOR CONNECTING SPATIAL DATA INFRASTRUCTURES WITH SENSOR WEB (SENSDI)." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-4 (June 3, 2016): 33–39. http://dx.doi.org/10.5194/isprsannals-iii-4-33-2016.

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Integrating Sensor Web With Spatial Data Infrastructures (SENSDI) aims to extend SDIs with sensor web enablement, converging geospatial and built infrastructure, and implement test cases with sensor data and SDI. It is about research to harness the sensed environment by utilizing domain specific sensor data to create a generalized sensor webframework. The challenges being semantic enablement for Spatial Data Infrastructures, and connecting the interfaces of SDI with interfaces of Sensor Web. The proposed research plan is to Identify sensor data sources, Setup an open source SDI, Match the APIs

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9

Bhattacharya, D., and M. Painho. "DESIGN FOR CONNECTING SPATIAL DATA INFRASTRUCTURES WITH SENSOR WEB (SENSDI)." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-4 (June 3, 2016): 33–39. http://dx.doi.org/10.5194/isprs-annals-iii-4-33-2016.

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Integrating Sensor Web With Spatial Data Infrastructures (SENSDI) aims to extend SDIs with sensor web enablement, converging geospatial and built infrastructure, and implement test cases with sensor data and SDI. It is about research to harness the sensed environment by utilizing domain specific sensor data to create a generalized sensor webframework. The challenges being semantic enablement for Spatial Data Infrastructures, and connecting the interfaces of SDI with interfaces of Sensor Web. The proposed research plan is to Identify sensor data sources, Setup an open source SDI, Match the APIs

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10

NOLAN, JAMES J., ARUN K. SOOD, and ROBERT SIMON. "DISCOVERING AND COMPOSING DISTRIBUTED ATOMIC AGENTS FOR IMAGERY AND GEOSPATIAL PROBLEM SOLVING." International Journal of Pattern Recognition and Artificial Intelligence 16, no. 08 (2002): 995–1019. http://dx.doi.org/10.1142/s021800140200212x.

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This paper describes our approach to building a scalable, flexible agent-based architecture for imagery and geospatial processing. Central to this approach is the agent discovery and composition mechanism which scales to support networks with thousands of agents. The agent architecture implements over 100 imagery and geospatial processing agents based on the Java Advanced Imaging and OpenMap(TM) APIs. The agents are distributed over a Jini enabled network, and communicate with one another via JavaSpaces. We discuss our "atomic" approach in this paper: developing low-level processing agents tha

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11

Eldawy, Ahmed. "The 1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs (SpatialAPI 2019)." SIGSPATIAL Special 11, no. 3 (2020): 14. http://dx.doi.org/10.1145/3383653.3383658.

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12

Bharadwaj, S., R. Dubey, M. I. Zafar, and S. Biswas. "RASTER DATA BASED AUTOMATED NOISE DATA INTEGRATION FOR NOISE MAPPING LIMITING DATA DEPENDENCY." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021 (June 30, 2021): 159–66. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2021-159-2021.

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Abstract. Noise has become a recurrent problem worldwide. Road traffic noise studies in India are fewer and restricted only to the metropolitan areas. These studies focused on recording, monitoring, analysis, modelling, and mapping. The major concern is with the onsite collection of vehicular noise data from road sites. Road traffic noise maps have been generated by using traditional techniques that involve the collection of road traffic noise by experts. There are negligible studies in the area of automated noise generation for road traffic noise. In this paper, the study examines the problem

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13

Bhattacharya, D., and M. Painho. "SMART CITIES INTELLIGENCE SYSTEM (SMACiSYS) INTEGRATING SENSOR WEB WITH SPATIAL DATA INFRASTRUCTURES (SENSDI)." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W3 (September 25, 2017): 21–28. http://dx.doi.org/10.5194/isprs-annals-iv-4-w3-21-2017.

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The paper endeavours to enhance the Sensor Web with crucial geospatial analysis capabilities through integration with Spatial Data Infrastructure. The objective is development of automated smart cities intelligence system (SMACiSYS) with sensor-web access (SENSDI) utilizing geomatics for sustainable societies. There has been a need to develop automated integrated system to categorize events and issue information that reaches users directly. At present, no web-enabled information system exists which can disseminate messages after events evaluation in real time. Research work formalizes a notion

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14

McGrath, H., E. Stefanakis, and M. Nastev. "DEM Fusion of Elevation REST API Data in Support of Rapid Flood Modelling." GEOMATICA 70, no. 4 (2016): 283–97. http://dx.doi.org/10.5623/cig2016-402.

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Digital elevation models (DEM) are an integral part of flood modelling. High resolution DEM data are not always available or affordable for communities, thus other elevation data sources are explored. While the accuracy of some of these sources has been rigorously tested (e.g., SRTM, ASTER), others, such as Natural Resources Canada’s Canadian Digital Elevation Model (CDEM) and Google and Bings’ Elevation REST APIs, have not yet been properly evaluated. Details pertaining to acquisition source and accuracy are often unreported for APIs. To include these data in geospatial applications and test

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15

Jiang, W., and E. Stefanakis. "A RESTFUL API FOR THE EXTENDED WHAT3WORDS ENCODING." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4 (September 19, 2018): 97–104. http://dx.doi.org/10.5194/isprs-annals-iv-4-97-2018.

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<p><strong>Abstract.</strong> Geocoding is a fundamental task of Geographic Information System (GIS) processing and analysis. It allows the transformation between a location reference (i.e., an address or an alphanumeric code) and coordinates, which is often an essential step when performing spatial analysis, mapping, and other geolocation related processes. Providing software functionality through RESTful APIs is a common practice in geospatial applications. Client programs are able to access or process geospatial data easily through a lightweight and scalable RESTful web se

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16

Xie, Qingyun. "THE DESIGN OF A HIGH PERFORMANCE EARTH IMAGERY AND RASTER DATA MANAGEMENT AND PROCESSING PLATFORM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 14, 2016): 551–55. http://dx.doi.org/10.5194/isprs-archives-xli-b4-551-2016.

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This paper summarizes the general requirements and specific characteristics of both geospatial raster database management system and raster data processing platform from a domain-specific perspective as well as from a computing point of view. It also discusses the need of tight integration between the database system and the processing system. These requirements resulted in Oracle Spatial GeoRaster, a global scale and high performance earth imagery and raster data management and processing platform. The rationale, design, implementation, and benefits of Oracle Spatial GeoRaster are described.

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17

McCafferty, Conor. "Distributing Authorship at a Localised Scale: Developing public engagement in sound mapping." Organised Sound 26, no. 2 (2021): 255–64. http://dx.doi.org/10.1017/s1355771821000297.

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Sound maps, particularly the web-based examples that have proliferated since the early 2000s, have proven compelling and valuable as means of conveying diverse perspectives of urban, rural and wilderness sound environments, while opening the creative process of mapping through field recording to non-expert user groups. As such, sound maps hold the promise of broad public engagement with everyday sonic experience and spatial typologies. Yet this straightforward participatory aim is prone to complication in terms of participatory frameworks and scale of analysis. Drawing on a catalogue of sound

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18

Xie, Qingyun. "THE DESIGN OF A HIGH PERFORMANCE EARTH IMAGERY AND RASTER DATA MANAGEMENT AND PROCESSING PLATFORM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 14, 2016): 551–55. http://dx.doi.org/10.5194/isprsarchives-xli-b4-551-2016.

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This paper summarizes the general requirements and specific characteristics of both geospatial raster database management system and raster data processing platform from a domain-specific perspective as well as from a computing point of view. It also discusses the need of tight integration between the database system and the processing system. These requirements resulted in Oracle Spatial GeoRaster, a global scale and high performance earth imagery and raster data management and processing platform. The rationale, design, implementation, and benefits of Oracle Spatial GeoRaster are described.

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19

Zafar, Noureen, Irfan Ul Haq, Jawad-ur-Rehman Chughtai, and Omair Shafiq. "Applying Hybrid Lstm-Gru Model Based on Heterogeneous Data Sources for Traffic Speed Prediction in Urban Areas." Sensors 22, no. 9 (2022): 3348. http://dx.doi.org/10.3390/s22093348.

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With the advent of the Internet of Things (IoT), it has become possible to have a variety of data sets generated through numerous types of sensors deployed across large urban areas, thus empowering the notion of smart cities. In smart cities, various types of sensors may fall into different administrative domains and may be accessible through exposed Application Program Interfaces (APIs). In such setups, for traffic prediction in Intelligent Transport Systems (ITS), one of the major prerequisites is the integration of heterogeneous data sources within a preprocessing data pipeline resulting in

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20

Koukofikis, A., V. Coors, and R. Gutbell. "INTEROPERABLE VISUALIZATION OF 3D CITY MODELS USING OGC’S STANDARD 3D PORTRAYAL SERVICE." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4 (September 19, 2018): 113–18. http://dx.doi.org/10.5194/isprs-annals-iv-4-113-2018.

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<p><strong>Abstract.</strong> The demand of serving large 3D spatial data, mainly of urban areas, reflects the need of hierarchical data structures for 3D data. During the last years the OGC community standard I3S (Indexed 3d Scene Layer, ESRI) and 3D Tiles (Analytical Graphics, Inc.) emerged in order to deal with this challenge. Conceptually, hierarchical structures for 3D data operate similarly to web map tiles, differing only in the implementation. Although 3D hierarchical formats can transmit arbitrary sized geospatial data, they are not interoperable with consuming/visua

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21

Batita, Wided. "GeoWeb 2.0 applications could support the Geodesign process." Revue Internationale de Géomatique 29, no. 3-4 (2019): 263–85. http://dx.doi.org/10.3166/rig.2019.00092.

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The emergence of Web 2.0 is materialized by new technologies (APIs, Ajax, etc.), by new practices (mashup, geotagging, etc.) an, by new tools (wiki, blog, etc.). It is primarily based on the principle of participation and collaboration. In this dynamic, the web mapping with spatial character or simply called Geospatial Web (or Geoweb) evolves by strong technological and social changes. Participatory GeoWeb 2.0 is materialized in particular by mashups among wikis and géobrowsers (ArgooMap, Geowiki, WikiMapia, etc.). The new applications resulting from these mashups are moving towards more inter

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22

Ajao, Adeyemi Mufutau, Gabriel Salako, Segun Olayinka Oladipo, and Abdulrasheed Abidemi Adio. "Application of Geo-spatial Technology in Characterization of African Honeybee (Apis mellifera) Apiaries into Ecosystem Zones for Productivity and Pollination Service." European Journal of Agriculture and Food Sciences 3, no. 1 (2021): 61–67. http://dx.doi.org/10.24018/ejfood.2021.3.1.221.

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Seven major ecological zones of Nigeria with modern functional apiaries were mapped and sampled in the rainy season between April 2016 and October 2018 for estimating the bee foraging flight range and floral species diversity; collating satellite imagery data for geospatial zone mapping using GPS (Garmin Etrex 20) to capture the coordinates of apiaries locations and their attributes, climatic and topographic data and generating ecological zones: the wetland vegetation, savanna grassland, savanna woodland (disturbed), shrubby forest, lowland dense forest, and Highland rain forest. Honeybee flig

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23

Durante, Kimberly, and Emily Prince. "Visualizing and Linking Cartographic Resources across Discovery Environments." Abstracts of the ICA 1 (July 15, 2019): 1. http://dx.doi.org/10.5194/ica-abs-1-69-2019.

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<p><strong>Abstract.</strong> This presentation will highlight Stanford University Libraries’ development of institutional best practices for identifying relationships among cartographic resources stored within the university’s digital preservation repository and made available to end users from contextualized discovery catalogs: SearchWorks and EarthWorks. The use of map interfaces as a tool for searching and retrieving of geographic information has greatly influenced the design of structural metadata and the related management of elegant workflows for supporting consistent

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24

Hobern, Donald, Andrea Hahn, and Tim Robertson. "Options to streamline and enrich biodiversity data aggregation." Biodiversity Information Science and Standards 2 (May 21, 2018): e26808. http://dx.doi.org/10.3897/biss.2.26808.

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The success of Darwin Core and ABCD Schema as flexible standards for sharing specimen data and species occurrence records has enabled GBIF to aggregate around one billion data records. At the same time, other thematic, national or regional aggregators have developed a wide range of other data indexes and portals, many of which enrich the data by interpreting and normalising elements not currently handled by GBIF or by linking other data from geospatial layers, trait databases, etc. Unfortunately, although each of these aggregators has specific strengths and supports particular audiences, this

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Tengtrairat, Naruephorn, Wai Lok Woo, Phetcharat Parathai, Chuchoke Aryupong, Peerapong Jitsangiam, and Damrongsak Rinchumphu. "Automated Landslide-Risk Prediction Using Web GIS and Machine Learning Models." Sensors 21, no. 13 (2021): 4620. http://dx.doi.org/10.3390/s21134620.

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Spatial susceptible landslide prediction is the one of the most challenging research areas which essentially concerns the safety of inhabitants. The novel geographic information web (GIW) application is proposed for dynamically predicting landslide risk in Chiang Rai, Thailand. The automated GIW system is coordinated between machine learning technologies, web technologies, and application programming interfaces (APIs). The new bidirectional long short-term memory (Bi-LSTM) algorithm is presented to forecast landslides. The proposed algorithm consists of 3 major steps, the first of which is the

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26

Alzubaidi, Ahmad N., Stephen Sekoulopoulos, Jonathan Pham, Vonn Walter, Jay G. Fuletra, and Jay D. Raman. "Incidence and Distribution of New Renal Cell Carcinoma Cases." Journal of Kidney Cancer and VHL 9, no. 2 (2022): 7–12. http://dx.doi.org/10.15586/jkcvhl.v9i2.219.

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Nationwide databases have implicated an increased incidence of renal cell carcinoma (RCC). The Pennsylvania (PA) Cancer Registry was queried to better define incidence, geographic distribution, and statewide trends of new RCC cases over a 27-year period. JoinPoint Trend Analysis Software modeled average annual percent changes (APCs) in age-adjusted rates (AAR). Maps plotting county-level incidence rates and stage distribution of disease across the state in 5-year time intervals were created using R 4.0.2 software. Overall, 59,628 cases of RCC were recorded in PA from 1990 to 2017. Eighty six p

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27

Roggeri, Paolo, Alan Belward, Philippe Mayaux, et al. "SUSTAINABLE DEVELOPMENT IN DEVELOPING COUNTRIES: THE AFRICAN, CARIBBEAN AND PACIFIC OBSERVATORY /DARNUS VYSTYMASIS BESIVYSTANČIOSE ŠALYSE: AFRIKOS, KARIBŲ IR RAMIOJO VANDENYNO VALSTYBIŲ APŽVALGA." Technological and Economic Development of Economy 16, no. 4 (2010): 736–52. http://dx.doi.org/10.3846/tede.2010.45.

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Freshwater, aquaculture, fisheries, biodiversity, forests, and agricultural land have high economic and social value throughout the Africa, Caribbean and Pacific (ACP) region; but they can also be over‐exploited, with damaging consequences for local economies, long term stability and for the Earth system as a whole – especially the climate system. The ACP's fast growing population puts growing pressure on the environment to provide food, water and fibre, on the regions’ urban centres and transport networks, and on energy sources. Information on the location, condition and evolution of resource

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Beconytė, Giedrė, та Dovid Katz. "ATLAS OF NORTHEASTERN YIDDISH: IMPORTANCE OF MAPS IN LINGUISTIC RESEARCH / ŠIAURĖS RYTŲ TERITORIJOS JIDIŠ ATLASAS: ŽEMĖLAPIŲ SVARBA ATLIEKANT LINGVISTINIUS TYRIMUS / АТЛАС СЕВЕРО-ВОСТОЧНОГО ИДИШ: РОЛЬ КАРТЫ В ЛИНГВИСТИЧЕСКИХ ИССЛЕДОВАНИЯХ". Geodesy and Cartography 37, № 3 (2011): 119–24. http://dx.doi.org/10.3846/13921541.2011.626257.

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The paper introduces the application of cartographic methods to research on a culture at the last moment of its in situ existence. The atlas in progress seeks to determine the historic external borders, the internal differentiation and the cultural and linguistic structure and characteristics of Líte ([lítə] – the territory of traditional jewish Lithuania (coterritorial with today's Lithuania, Latvia, Belarus, and swaths of northeastern Poland, northern and eastern Ukraine and westernmost Russia). The main linguistic data were initially organized by lists of locations where use of a particular

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Rashidan, Muhammad Hanis, and Ivin Amri Musliman. "GeoPackage as Future Ubiquitous GIS Data Format: A Review." Jurnal Teknologi 73, no. 5 (2015). http://dx.doi.org/10.11113/jt.v73.4319.

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The emerging geospatial technologies in earth and space science informatics have led to the advancement in developing international standards for geospatial interoperability. In the last few years, two main trends are making disruptions in geospatial applications; mobile and context sharing. Geospatial data format used in mobile GIS to support advance mobile application is challenged. This is due to the lack of interoperability, open-standard, cross platform and standard APIs for access and management. For instance, most mobile GIS developments are application-dependent, contains redundant geo

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Vinhas, Lubia, Gilberto Ribeiro De Queiroz, Karine Reis Ferreira, and Gilberto Camara. "WEB SERVICES FOR BIG EARTH OBSERVATION DATA." Revista Brasileira de Cartografia 69, no. 5 (2017). http://dx.doi.org/10.14393/rbcv69n5-44004.

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The aim of geospatial web services is to enable users to share and process geospatial data on the Web, no matter what platform or protocol is used. In this paper, we investigate what the design decisions needed to implement web services for big Earth observation (EO) data are. The focus of the work is discussing what is unique about big EO data and why current standards are unsuitable for big EO data analytics. Instead, simpler APIs can be more eï¬€ ective for accessing big EO data than generic services such as WMS and WCS, especially for data analytics. We support this viewpoint by describing

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