Log in

Relevant bibliographies by topics / Spatial Data / Journal articles

To see the other types of publications on this topic, follow the link: Spatial Data.

Journal articles on the topic 'Spatial Data'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Spatial Data.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Ivanov, Sabin. "SPATIAL DATA MODELS." Journal Scientific and Applied Research 20, no. 1 (2020): 40–46. http://dx.doi.org/10.46687/jsar.v20i1.303.

Full text

Abstract:

Spatial data represents the shape, location, and spatial relationships of geographic features to other features. The form represents the geometry of the objects, the location is described by a list of x, y coordinates of discrete points of the objects, and the spatial connections (topological information) of the geographical objects determine the interaction between them. Spatial (coordinate) information can also include time-related data.

APA, Harvard, Vancouver, ISO, and other styles

2

Osborn, Wendy. "Unbounded Spatial Data Stream Query Processing using Spatial Semijoins." Journal of Ubiquitous Systems and Pervasive Networks 15, no. 02 (2021): 33–41. http://dx.doi.org/10.5383/juspn.15.02.005.

Full text

Abstract:

In this paper, the problem of query processing in spatial data streams is explored, with a focus on the spatial join operation. Although the spatial join has been utilized in many proposed centralized and distributed query processing strategies, for its application to spatial data streams the spatial join operation has received very little attention. One identified limitation with existing strategies is that a bounded region of space (i.e., spatial extent) from which the spatial objects are generated needs to be known in advance. However, this information may not be available. Therefore, two s

APA, Harvard, Vancouver, ISO, and other styles

3

Lee. "A study on the Spatial Sampling Method to Minimize Spatial Autocorrelation of Spatial and Geographical Data." Journal of the Korean Society of Civil Engineers 34, no. 4 (2014): 1317. http://dx.doi.org/10.12652/ksce.2014.34.4.1317.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Barkworth, M. E., and J. Mcgrew. "Combining herbarium data with spatial data: potential benefits, new needs." Czech Journal of Genetics and Plant Breeding 41, Special Issue (2012): 59–64. http://dx.doi.org/10.17221/6136-cjgpb.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Wiemann, Stefan, and Lars Bernard. "Spatial data fusion in Spatial Data Infrastructures using Linked Data." International Journal of Geographical Information Science 30, no. 4 (2015): 613–36. http://dx.doi.org/10.1080/13658816.2015.1084420.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Kovaříček, P., and J. Hůla. "Field capacity determination from GPS spatial data." Research in Agricultural Engineering 49, No. 3 (2012): 75–79. http://dx.doi.org/10.17221/4955-rae.

Full text

Abstract:

For agricultural machinery management the actually reached machines capacity has a considerable importance. The data recorded by GPS monitoring enable to correct machines work productivity under concrete operational conditions. Assessment of machine aggregates operation records has proved effect of the operational factors onto operational efficiency reached on particular plots. The theoretical efficiency given by exploitation characteristics of machines has decreased effect of higher share of non-productive travels within small and irregular plots almost by 25%. In this paper we are dealing wi

APA, Harvard, Vancouver, ISO, and other styles

7

Klimešová, D., and E. Ocelíková. "Spatial data modelling and maximum entropy theory." Agricultural Economics (Zemědělská ekonomika) 51, No. 2 (2012): 80–83. http://dx.doi.org/10.17221/5080-agricecon.

Full text

Abstract:

Spatial data modelling and consequential error estimation of the distribution function are key points of spatial analysis. For many practical problems, it is impossible to hypothesize distribution function firstly and some distribution models, such as Gaussian distribution, may not suit to complicated distribution in practice. The paper shows the possibility of the approach based on the maximum entropy theory that can optimally describe the spatial data distribution and gives&nbsp; the actual error estimation.&nbsp;

APA, Harvard, Vancouver, ISO, and other styles

8

USUI, Teruko. "Spatial Data Transfer Standard (SDTS) and Spatial Data Model." Theory and Applications of GIS 2, no. 1 (1994): 1–8. http://dx.doi.org/10.5638/thagis.2.1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

K, Sivakumar. "Spatial Data Mining: Recent Trends in the Era of Big Data." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (2020): 912–16. http://dx.doi.org/10.5373/jardcs/v12sp7/20202182.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Wiwin, Sulistyo, Sulistyo Wiwin, and Pulungan Reza. "Development of a Spatial Path-Analysis Method for Spatial Data Analysis." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 4 (2018): 2456–67. https://doi.org/10.11591/ijece.v8i4.pp2456-2467.

Full text

Abstract:

Path analysis is a method for identifying and analyzing direct and indirect relationship between independent and dependent variables. This method was developed by Sewal Wright and initially only used correlation analysis results in identifying the variables’ relationship. So far, path analysis has been mostly used to deal with variables of non-spatial data type. When analyzing variables that have elements of spatial dependency, path analysis could result in a less precise model. Therefore, it is necessary to build a path analysis model that is able to identify and take into account the e

APA, Harvard, Vancouver, ISO, and other styles

11

Shuler, John A., and Nancy J. Obermeyer. "Spatial data and data centers." Journal of Academic Librarianship 27, no. 5 (2001): 391–93. http://dx.doi.org/10.1016/s0099-1333(01)00254-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Wang, Shuliang, and Hanning Yuan. "Spatial Data Mining." International Journal of Data Warehousing and Mining 10, no. 4 (2014): 50–70. http://dx.doi.org/10.4018/ijdwm.2014100103.

Full text

Abstract:

Big data brings the opportunities and challenges into spatial data mining. In this paper, spatial big data mining is presented under the characteristics of geomatics and big data. First, spatial big data attracts much attention from the academic community, business industry, and administrative governments, for it is playing a primary role in addressing social, economic, and environmental issues of pressing importance. Second, humanity is submerged by spatial big data, such as much garbage, heavy pollution and its difficulties in utilization. Third, the value in spatial big data is dissected. A

APA, Harvard, Vancouver, ISO, and other styles

13

Bacao, Fernando, Maribel Yasmina Santos, and Martin Behnisch. "Spatial Data Science." ISPRS International Journal of Geo-Information 9, no. 7 (2020): 428. http://dx.doi.org/10.3390/ijgi9070428.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Vusovic, Nenad, Igor Svrkota, and Daniel Krzanovic. "Spatial data infrastructure." Mining and Metallurgy Engineering Bor, no. 3 (2013): 159–74. http://dx.doi.org/10.5937/mmeb1303159v.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Banerjee, Sudipto. "Spatial Data Analysis." Annual Review of Public Health 37, no. 1 (2016): 47–60. http://dx.doi.org/10.1146/annurev-publhealth-032315-021711.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Stewart Fotheringham, A. "Analysing spatial data." Journal of Biogeography 32, no. 12 (2005): 2190. http://dx.doi.org/10.1111/j.1365-2699.2005.01364.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Odeh, Inakwu O. A. "Spatial Data Quality." Geoderma 116, no. 3-4 (2003): 395–98. http://dx.doi.org/10.1016/s0016-7061(03)00115-0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Mamoulis, Nikos. "Spatial Data Management." Synthesis Lectures on Data Management 3, no. 6 (2011): 1–149. http://dx.doi.org/10.2200/s00394ed1v01y201111dtm021.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Sotvoldieva, Dildora, and Yakhyobek Mekhmonaliyev. "SPATIAL DATA STRUCTURES." Research and implementation 2, no. 2 (2024): 28–34. https://doi.org/10.5281/zenodo.10669183.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Yu, J., L. Wu, Y. Yang, X. Lei, and W. He. "Global Data Spatially Interrelate System for Scientific Big Data Spatial-Seamless Sharing." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-6 (April 23, 2014): 125–30. http://dx.doi.org/10.5194/isprsarchives-xl-6-125-2014.

Full text

Abstract:

A good data sharing system with spatial-seamless services will prevent the scientists from tedious, boring, and time consuming work of spatial transformation, and hence encourage the usage of the scientific data, and increase the scientific innovation. Having been adopted as the framework of Earth datasets by Group on Earth Observation (GEO), Earth System Spatial Grid (ESSG) is potential to be the spatial reference of the Earth datasets. Based on the implementation of ESSG, SDOG-ESSG, a data sharing system named global data spatially interrelate system (GASE) was design to make the data sharin

APA, Harvard, Vancouver, ISO, and other styles

21

Wang, Ting. "Adaptive Tessellation Mapping (ATM) for Spatial Data Mining." International Journal of Machine Learning and Computing 4, no. 6 (2015): 478–82. http://dx.doi.org/10.7763/ijmlc.2014.v6.458.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Nikparvar, Behnam, and Jean-Claude Thill. "Machine Learning of Spatial Data." ISPRS International Journal of Geo-Information 10, no. 9 (2021): 600. http://dx.doi.org/10.3390/ijgi10090600.

Full text

Abstract:

Properties of spatially explicit data are often ignored or inadequately handled in machine learning for spatial domains of application. At the same time, resources that would identify these properties and investigate their influence and methods to handle them in machine learning applications are lagging behind. In this survey of the literature, we seek to identify and discuss spatial properties of data that influence the performance of machine learning. We review some of the best practices in handling such properties in spatial domains and discuss their advantages and disadvantages. We recogni

APA, Harvard, Vancouver, ISO, and other styles

23

Meena, A., B. Manjunatha, A. Anil Kumar, et al. "Spatial Econometrics in Agriculture: Modelling Spatial Dependencies in Data." Archives of Current Research International 24, no. 6 (2024): 488–506. http://dx.doi.org/10.9734/acri/2024/v24i6807.

Full text

Abstract:

Spatial econometrics in agriculture focuses on modelling spatial dependencies in data, recognizing that agricultural outcomes are often influenced by geographic proximity and spatial interactions. This approach acknowledges that agricultural phenomena, such as crop yields, pest outbreaks, and soil quality, can exhibit spatial patterns that traditional econometric models may overlook. By incorporating spatial elements into econometric analysis, researchers can better understand how neighbouring regions or locations influence each other's agricultural outcomes. This is crucial for policymakers a

APA, Harvard, Vancouver, ISO, and other styles

24

Fatchurohman, Hendy, Like Indrawati, Iswanti Rahayu Ningtiyas, Nur Anisa Nadhira, and Sasvita Gevi Meliyasari. "Data Pesawat Udara Tanpa Awak Untuk Pendukung Analisis Dinamika Pesisir dan Erosi Pantai." Jurnal Spatial Wahana Komunikasi dan Informasi Geografi 23, no. 2 (2023): 29–40. http://dx.doi.org/10.21009/spatial.232.04.

Full text

Abstract:

    Kawasan pesisir menjadi salah satu area yang paling rentan terhadap ancaman bencana akibat percepatan perubahan iklim. Salah satu ancaman yang hampir terjadi di seluruh Kawasan pesisir di dunia adalah erosi pantai. Kawasan Pesisir Kabupaten Bantul, DIY menjadi salah satu area yang terdampak cukup parah oleh erosi pantai. Penelitian ini bertujuan untuk (1) Mengetahui proses dinamika pesisir di Kawasan Pantai Pandansimo ; (2) Memetakan tingkat kecepatan abrasi di Pantai Pandansimo, dan (3) Mengetahui penyebab utama dari proses erosi pantai yang terjadi. Citra satelit

APA, Harvard, Vancouver, ISO, and other styles

25

Tao, Ran, and Jean-Claude Thill. "Spatial Cluster Detection in Spatial Flow Data." Geographical Analysis 48, no. 4 (2016): 355–72. http://dx.doi.org/10.1111/gean.12100.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Sackineh, Sackineh. "Spatial Convolution Splines for Multivariate Spatial Data." International Journal of Neutrosophic Science 24, no. 4 (2024): 66–71. http://dx.doi.org/10.54216/gjmsa.0100207.

Full text

Abstract:

The Spatial Convolution Splines Multivariate Regression Model (SCSMRM) were used on the data represented a diabetes disease measurements across different regions in Iraq (Basrah, Baghdad, Babylon, Sulaimanya) while considering multiple risk factors such as age, BMI, weight , income, education level, blood pressure for the same geographic location for (200) patient, and combine the health data with the risk factor data to create a comprehensive dataset. Each record in the dataset should include the geographic location, diabetes status, and values for each risk factor we applied (SCSMRM), the re

APA, Harvard, Vancouver, ISO, and other styles

27

Romano, Elvira, Antonio Balzanella, and Rosanna Verde. "Spatial variability clustering for spatially dependent functional data." Statistics and Computing 27, no. 3 (2016): 645–58. http://dx.doi.org/10.1007/s11222-016-9645-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Radosevic, Nenad, Matt Duckham, Mohammad Saiedur Rahaman, et al. "Spatial data trusts: an emerging governance framework for sharing spatial data." International Journal of Digital Earth 16, no. 1 (2023): 1607–39. http://dx.doi.org/10.1080/17538947.2023.2200042.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Smith, N. S. "Spatial data models and data structures." Computer-Aided Design 22, no. 3 (1990): 184–90. http://dx.doi.org/10.1016/0010-4485(90)90077-p.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Astuty, Yulia Indri, and Adi Wibowo. "ANALISIS SPASIAL TEMPORAL PERUBAHAN TUTUPAN LAHAN DI SEKITAR WADUK PENDIDIKAN DIPONEGORO MENGGUNAKAN DATA GOOGLE EARTH." Jurnal Spatial Wahana Komunikasi dan Informasi Geografi 23, no. 2 (2023): 41–49. http://dx.doi.org/10.21009/spatial.232.05.

Full text

Abstract:

Waduk Pendidikan Diponegoro terletak di Kecamatan Tembalang Kota Semarang Provinsi Jawa Tengah. Waduk ini dibangun untuk keperluan akademik dan juga sebagai upaya dalam pengendalian banjir. Kota Semarang memiliki tingkat kerawanan banjir yang cukup tinggi. Lokasi yang berbatasan dengan Laut Jawa diiringi dengan keterbatasan lahan dan peningkatan jumlah penduduk yang signifikan menjadi alasan klasik kota ini rawan banjir. Berdasarkan data Badan Pusat Statistik, tahun 2007 jumlah penduduk di Kota Semarang berkisar 1,45 juta jiwa, tahun 2015 naik menjadi 1,59 juta jiwa, dan pada tahun 2021 kembal

APA, Harvard, Vancouver, ISO, and other styles

31

Fadhilla, Ayu, and Nina Novira. "Tingkat Kepatuhan Masyarakat dalam Pendaftaran Data Kependudukan di Kelurahan Tanjung Sari Kecamatan Medan Selayang Kota Medan." Jurnal Spatial Wahana Komunikasi dan Informasi Geografi 24, no. 1 (2024): 72–84. http://dx.doi.org/10.21009/spatial.241.008.

Full text

Abstract:

Penelitian ini bertujuan untuk mengetahui: (1) Tingkat kepatuhan masyarakat dalam melakukan registrasi data kependudukan di Desa Tanjung Sari (2) Alasan kepatuhan registrasi data kependudukan di Desa Tanjung Sari. Penelitian ini dilakukan di Kelurahan Tanjung Sari Kecamatan Medan Selayang Kota Medan pada bulan April-Mei 2023. Populasi dalam penelitian ini adalah seluruh kepala rumah tangga di Kelurahan Tanjung Sari sebanyak 10.409 KK dengan sampel ditentukan dengan rumus Slovin sehingga diperoleh 174 KK. Teknik pengumpulan data dilakukan dengan menggunakan kuesioner. Teknik analisis data yang

APA, Harvard, Vancouver, ISO, and other styles

32

Varadharajulu, P., M. Azeem Saqiq, F. Yu, et al. "SPATIAL DATA SUPPLY CHAINS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4/W7 (June 30, 2015): 41–45. http://dx.doi.org/10.5194/isprsarchives-xl-4-w7-41-2015.

Full text

Abstract:

This paper describes current research into the supply of spatial data to the end user in as close to real time as possible via the World Wide Web. The Spatial Data Infrastructure paradigm has been discussed since the early 1990s. The concept has evolved significantly since then but has almost always examined data from the perspective of the supplier. It has been a supplier driven focus rather than a user driven focus. The current research being conducted is making a paradigm shift and looking at the supply of spatial data as a supply chain, similar to a manufacturing supply chain in which user

APA, Harvard, Vancouver, ISO, and other styles

33

de Veaux, Richard D., and Noel A. C. Cressie. "Statistics for Spatial Data." Technometrics 35, no. 3 (1993): 322. http://dx.doi.org/10.2307/1269525.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Ziegel, Eric R., and Noel Cressie. "Statistics for Spatial Data." Technometrics 36, no. 4 (1994): 437. http://dx.doi.org/10.2307/1269985.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Palmer, Michael W., Trevor C. Bailey, and Anthony C. Gatrell. "Interactive Spatial Data Analysis." Ecology 77, no. 5 (1996): 1642. http://dx.doi.org/10.2307/2265559.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Teng, Haotian, Ye Yuan, and Ziv Bar-Joseph. "Clustering spatial transcriptomics data." Bioinformatics 38, no. 4 (2021): 997–1004. http://dx.doi.org/10.1093/bioinformatics/btab704.

Full text

Abstract:

Abstract Motivation Recent advancements in fluorescence in situ hybridization (FISH) techniques enable them to concurrently obtain information on the location and gene expression of single cells. A key question in the initial analysis of such spatial transcriptomics data is the assignment of cell types. To date, most studies used methods that only rely on the expression levels of the genes in each cell for such assignments. To fully utilize the data and to improve the ability to identify novel sub-types, we developed a new method, FICT, which combines both expression and neighborhood informati

APA, Harvard, Vancouver, ISO, and other styles

37

Clayton, Murray K., and Noel Cressie. "Statistics for Spatial Data." Journal of the American Statistical Association 88, no. 422 (1993): 703. http://dx.doi.org/10.2307/2290365.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Cormack, R. M., and N. Cressie. "Statistics for Spatial Data." Biometrics 48, no. 4 (1992): 1300. http://dx.doi.org/10.2307/2532724.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Phillips, Andrew, Ian Williamson, and Chukwudozie Ezigbalike. "Spatial Data Infrastructure Concepts." Australian Surveyor 44, no. 1 (1999): 20–28. http://dx.doi.org/10.1080/00050351.1999.10558768.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Gotway, Carol A., and Linda J. Young. "Combining Incompatible Spatial Data." Journal of the American Statistical Association 97, no. 458 (2002): 632–48. http://dx.doi.org/10.1198/016214502760047140.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Rahbek Vierø, Ane, and Michael Szell. "Teaching spatial data science." Geoforum Perspektiv 23, no. 44 (2024): 6. https://doi.org/10.54337/ojs.perspektiv.v23i44.8383.

Full text

Abstract:

Spatial data science is an emerging field building on geographic information science, geography, and data science. Here we first discuss the definition and history of the field, arguing that it indeed warrants a new label. Then, we present the design of our course Geospatial Data Science at IT University of Copenhagen and discuss the importance of teaching not just spatial data science tools but also spatial and critical thinking. We conclude with a perspective on the potential future for spatial data science, arguing that qualitative theory and methods will continue to play an important role

APA, Harvard, Vancouver, ISO, and other styles

42

Sha, Ziyuan, Xudong Zhu, Peiyao Zhao, and Zhaocheng Wang. "Data-Aided Spatial Modulation." IEEE Access 5 (2017): 7285–93. http://dx.doi.org/10.1109/access.2017.2696575.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Haining, R., S. Wise, and J. Ma. "Exploratory Spatial Data Analysis." Journal of the Royal Statistical Society: Series D (The Statistician) 47, no. 3 (1998): 457–69. http://dx.doi.org/10.1111/1467-9884.00147.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Agterberg, Frederik P. "Interactive spatial data analysis." Computers & Geosciences 22, no. 8 (1996): 953–54. http://dx.doi.org/10.1016/s0098-3004(96)80468-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Veaux, Richard D. De. "Statistics for Spatial Data." Technometrics 35, no. 3 (1993): 321–23. http://dx.doi.org/10.1080/00401706.1993.10485328.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Tilke, Clemens. "Statistics for spatial data." Computational Statistics & Data Analysis 14, no. 4 (1992): 547. http://dx.doi.org/10.1016/0167-9473(92)90071-m.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Smith, M. J. "Spatial data 2000 conference." ISPRS Journal of Photogrammetry and Remote Sensing 47, no. 1 (1992): 71–72. http://dx.doi.org/10.1016/0924-2716(92)90010-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Lawson, A., and N. Cressie. "Statistics for Spatial Data." Statistician 42, no. 1 (1993): 73. http://dx.doi.org/10.2307/2348117.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Haslett, John. "Spatial Data Analysis-Challenges." Statistician 41, no. 3 (1992): 271. http://dx.doi.org/10.2307/2348549.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Hunter, Gary J., Monica Wachowicz, and Arnold K. Bregt. "Understanding Spatial Data Usability." Data Science Journal 2 (2003): 79–89. http://dx.doi.org/10.2481/dsj.2.79.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!