Log in

Relevant bibliographies by topics / GWPR / Journal articles

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

Journal articles on the topic 'GWPR'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 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 'GWPR.'

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

Almasi, Seyed Ahmad, Hamid Reza Behnood, and Ramin Arvin. "Pedestrian Crash Exposure Analysis Using Alternative Geographically Weighted Regression Models." Journal of Advanced Transportation 2021 (February 18, 2021): 1–13. http://dx.doi.org/10.1155/2021/6667688.

Full text

Abstract:

In order to develop a sustainable, safe, and dynamic transportation system, proper attention must be paid to the safety of pedestrians. The purpose of this study is to analyze the surrogate measures related to pedestrian crash exposure in urban roads, including the use of sociodemographic characteristics, land use, and geometric characteristics of the network. This study develops pedestrian exposure models using geographical spatial models including geographically weighted regression (GWR), geographically weighted Poisson regression (GWPR), and geographically weighted Gaussian regression (GWGR

APA, Harvard, Vancouver, ISO, and other styles

2

Iriany, Atiek, Wigbertus Ngabu, and Danang Ariyanto. "RAINFALL MODELING USING THE GEOGRAPHICALLY WEIGHTED POISSON REGRESSION METHOD." BAREKENG: Jurnal Ilmu Matematika dan Terapan 18, no. 1 (2024): 0627–36. http://dx.doi.org/10.30598/barekengvol18iss1pp0627-0636.

Full text

Abstract:

Rainfall is an important parameter in understanding the climate and environment in the Malang Regency area. This research aims to model the distribution of rainfall in this region using the Geographically Weighted Poisson Regression (GWPR) method. GWPR is a spatial statistical approach that allows us to understand changes in inhomogeneous rainfall patterns throughout the Malang Regency area. Rainfall data collected from weather stations over several years was used in this study. We use GWR to study the relationship between various environmental factors, such as topography, vegetation, and land

APA, Harvard, Vancouver, ISO, and other styles

3

Ambarwati, Puput Cahya, Indahwati Indahwati, and Muhammad Nur Aidi. "KAJIAN SIMULASI OVERDISPERSI PADA REGRESI POISSON DAN BINOMIAL NEGATIF TERBOBOTI GEOGRAFIS UNTUK DATA BALITA GIZI BURUK." Indonesian Journal of Statistics and Its Applications 4, no. 3 (2020): 484–97. http://dx.doi.org/10.29244/ijsa.v4i3.684.

Full text

Abstract:

Geographic weighted regression (GWR) is one of the regression methods for spatial data. GWR with the response variable following the poisson distribution can use the geographic weighted poisson regression (GWPR). GWPR often does not complete the assumption of dispersion. The classic approach commonly used to overcome overdispersion is related to poisson distribution, which is the approach obtained from poisson and gamma distribution which is similar to negative binomial distribution function. GWR for the response variable following the negative binomial distribution can use the geographical we

APA, Harvard, Vancouver, ISO, and other styles

4

Mondiana, Yani Quarta, Henny Pramoedyo, Atiek Iriany, and Marjono. "Applied fixed effect of Geographically Weighted Panel Regression (GWPR) with M- Estimator approach to estimate sugarcane yield data in East Java." Journal of Applied and Natural Science 16, no. 2 (2024): 646–52. http://dx.doi.org/10.31018/jans.v16i2.5443.

Full text

Abstract:

Geographically Weighted Panel Regression (GWPR), a combination of panel regression and geographically weighted regression (GWR), is used to analyze panel data and capture diverse relationship between locations. GWPR was developed on data with panel-fixed effects and applied to modeling data with spatial heterogeneity and time series. One method for estimating parameters in the GWPR is weighted least squares (WLS), which are sensitive to outliers. The present study aimed to use the M- method to estimate GWPR model parameters in data containing outliers using fixed-effect GWPR modeling for the s

APA, Harvard, Vancouver, ISO, and other styles

5

Renta, Apriani Monica, Herawati Netti, Sutrisno Agus, and Widiarti. "Geographically Weighted Panel Regression (GWPR) and Geographically and Temporally Weighted Regression (GTWR) Methods in the Influence of Factors Affecting the Minimum Wage of Each Province in Indonesia." RESEARCH REVIEW International Journal of Multidisciplinary 9, no. 7 (2024): 106–15. http://dx.doi.org/10.31305/rrijm.2024.v09.n07.015.

Full text

Abstract:

The study compares the Geographically Weighted Panel Regression (GWPR) method and the Geographically Temporal Weighted Regression (GTWR) method using a spatial and temporal approach in the data. Both of these methods are developments by one of the Geographically Weighted Regression (GWR) methods. GWPR, which is a combination of the GWR model with panel data regression to analyze spatial variations between regions on the influence of the provincial minimum wage determination factor in Indonesia. Meanwhile, GTWR is used to analyze the presence of non-stationarity in its data if there is spatial

APA, Harvard, Vancouver, ISO, and other styles

6

Rusgiyono, Agus, and Alan Prahutama. "GEOGRAPHICALLY WEIGHTED PANEL REGRESSION WITH FIXED EFFECT FOR MODELING THE NUMBER OF INFANT MORTALITY IN CENTRAL JAVA, INDONESIA." MEDIA STATISTIKA 14, no. 1 (2021): 10–20. http://dx.doi.org/10.14710/medstat.14.1.10-20.

Full text

Abstract:

One of the regression methods used to model by region is Geographically Weighted Regression (GWR). The GWR model developed to model panel data is Geographically Weighted Panel Regression (GWPR). Panel data has several advantages compared to cross-section or time-series data. The development of the GWPR model in this study uses the Fixed Effect model. It is used to model the number of infant mortality in Central Java. In this study, the weighting used by the fixed bisquare kernel resulted in a significant variable percentage of clean and healthy households. The value of R-square is 67.6%. Also

APA, Harvard, Vancouver, ISO, and other styles

7

Warsito, Budi, Hasbi Yasin, Dwi Ispriyanti, and Arief Rachman Hakim. "The Step Construction of Geographically Weighted Panel Regression in Air Polluter Standard Index (APSI) Data." E3S Web of Conferences 73 (2018): 12006. http://dx.doi.org/10.1051/e3sconf/20187312006.

Full text

Abstract:

Geographically Weighted Panel Regression or GWPR is a local linear regression model that combines GWR model and panel data regression model with considering spatial effect, especially spatial heterogeneity problem. This article is focused on the soft computation of GWPR model using Fixed Effect Model (FEM). Parameter estimation in GWPR is obtain by Weighted Least Squares (WLS) methods and the resulting model for each location will be different from one to another. This study will compare the fixed-effect GWPR model with several weighting functions. The best model is determined based on the big

APA, Harvard, Vancouver, ISO, and other styles

8

Deta Erviana, Mustofa Usman, Widiarti, and Khoirin Nisa. "Penerapan Metode Geographically Weighted Panel Regression Pada Indeks Pembangunan Manusia di Indonesia Tahun 2017-2022." Sciencestatistics: Journal of Statistics, Probability, and Its Application 2, no. 1 (2024): 35–47. http://dx.doi.org/10.24127/sciencestatistics.v2i1.5669.

Full text

Abstract:

Regresi linier merupakan metode statistik untuk memeriksa hubungan antara variabel respons dan satu atau lebih variabel prediktor. Dalam sebuah penelitian, satu unit observasi harus diteliti selama beberapa periode waktu, karena mempelajari satu unit dalam satu periode waktu tidaklah cukup. Oleh karena itu, sebuah pendekatan statistik yang disebut analisis regresi panel diciptakan untuk mengintegrasikan data cross-section dan data time series. Namun pada kenyataannya, perbedaan kondisi antar lokasi dipengaruhi oleh efek spasial yang menyebabkan terjadinya heterogenitas spasial. Dikembangkanlah

APA, Harvard, Vancouver, ISO, and other styles

9

Maulana, Akhmad Fajar, Yuana Sukmawaty, and Maisarah Maisarah. "PENERAPAN MODEL GEOGRAPHICALLY WEIGHTED PANEL REGRESSION PADA TINGKAT KEMISKINAN DI PROVINSI KALIMANTAN SELATAN." RAGAM: Journal of Statistics & Its Application 2, no. 2 (2024): 66. http://dx.doi.org/10.20527/ragam.v2i2.11332.

Full text

Abstract:

South Kalimantan Province is one of the provinces in Indonesia which has the lowest poverty rate or percentage of poor people on the island of Kalimantan, even in Indonesia. The percentage of poor people in South Kalimantan Province in March 2022 was 4.49% or in the 2nd lowest poverty position in Indonesia, below the Bangka Belitung Islands Province and above the Bali Province. Geographically Weighted Panel Regression (GWPR) is a local regression model with repeated data at location points for each observation at different times. This study aims to estimate the GWPR model parameters and test t

APA, Harvard, Vancouver, ISO, and other styles

10

Wati, Dia Cahya, Dea Alvionita Azka, and Herni Utami. "The Model of Per-Capita Expenditure Figures in Sumatera Selatan uses a Geographically Weighted Panel Regression." Indonesian Journal of Statistics and Its Applications 5, no. 1 (2021): 61–74. http://dx.doi.org/10.29244/ijsa.v5i1p61-74.

Full text

Abstract:

The Geographically Weighted Panel Regression (GWPR) is a development of a global regression model where the basic idea is taken from a combination of panel data and GWR. The GWPR model is built from the point approach method, which is based on the position of the coordinates of latitude and longitude. The parameters for the regression model at each location will produce different values. GWPR can accommodate spatial effects, so that it can better explain the relationship between response variables and predictors. The purpose of this study is to compare the GWPR model with the Fixed Gaussian an

APA, Harvard, Vancouver, ISO, and other styles

11

Amelia Fadila Rahman, Syafriandi Syafriandi, Nonong Amalita, and Zilrahmi. "Geographically Weighted Panel Regression Modeling on Human Development Index in West Sumatra." UNP Journal of Statistics and Data Science 1, no. 3 (2023): 232–39. http://dx.doi.org/10.24036/ujsds/vol1-iss3/63.

Full text

Abstract:

The Human Development Index (HDI) is an important issue that has a negative impact on the field of human development and people's welfare in West Sumatra Province. An effort to overcome the problem of the HDI is to identify the influencing factors. A method that can be used to identify influencing factors and explain the influence of characteristic areas of observation is Geographically Weighted Panel Regression (GWPR). GWPR is a combination of panel data regression method with GWR which is used when the data has the influence of spatial heterogeneity. The purpose of this study is to form a GW

APA, Harvard, Vancouver, ISO, and other styles

12

Darma putra, Jimmi, Dina Fitria, Dodi Vionanda, and Admi Salma. "Geographically Weighted Panel Regression for Modeling The Percentage of Poor Population in West Sumatra." UNP Journal of Statistics and Data Science 1, no. 3 (2023): 211–17. http://dx.doi.org/10.24036/ujsds/vol1-iss3/64.

Full text

Abstract:

Geographically Weighted Panel Regression (GWPR) model applies panel regression to spatial data, and parameter estimation is carried out using spatial weight at each observation point. The purpose of this study is to determine the GWPR model and the factors that influence the percentage of poor people in each district/city in West Sumatra Province from 2015 to 2021. And the adaptive bisquare kernel function was used to provide spatial weighting, and Cross-Validation (CV) criteria were used to identify the optimal bandwidth. The research data was secondary data sourced from the official website

APA, Harvard, Vancouver, ISO, and other styles

13

Martha, Shantika, Yundari Yundari, Setyo Wira Rizki, and Ray Tamtama. "PENERAPAN METODE GEOGRAPHICALLY WEIGHTED PANEL REGRESSION (GWPR) PADA KASUS KEMISKINAN DI INDONESIA." BAREKENG: Jurnal Ilmu Matematika dan Terapan 15, no. 2 (2021): 241–48. http://dx.doi.org/10.30598/barekengvol15iss2pp241-248.

Full text

Abstract:

To analyze the factor affecting poverty during several periods by considering some geographical factors, we can use a geographically weighted panel regression (GWPR) method. GWPR is a combination of the geographically weighted regression (GWR) model and the panel regression model. The research conducts to identify the factors affecting the percentage of poor people in 34 provinces in Indonesia during 2015-2019. The results show that a suitable GWPR model is a fixed-effect model (FEM) with an exponential adaptive kernel function. Referring to the model, the province is divided into four groups

APA, Harvard, Vancouver, ISO, and other styles

14

Ridhawati, Ridhawati, Suyitno Suyitno, and Wasono Wasono. "Model Geographically Weighted Poisson Regression (GWPR) dengan Fungsi Pembobot Adaptive Gaussian." EKSPONENSIAL 12, no. 2 (2021): 143. http://dx.doi.org/10.30872/eksponensial.v12i2.807.

Full text

Abstract:

The Geographically Weighted Poisson Regression (GWPR) Model is a regression model developed from Poisson regression or a local form of Poisson regression. The GWPR model generates a local model parameter estimator at each observation location where the data is collected and assumes the data is Poisson distributed. The estimation of GWPR model parameters uses the Adaptive Gaussian weighting function by determining the optimum bandwidth using GCV criteria. Based on the GWPR model, it is found that the factors that influence the maternal mortality rate (MMR) data in 24 districts (cities) of East

APA, Harvard, Vancouver, ISO, and other styles

15

Ketut, Ananda Kuvera Witana, Susilawati Made, Luh Putu Suciptawati Ni, Ayu Dwi Octavanny Made, Yuliarum Qur'ani Anggun, and Putu Eka Nilakusmawati Desak. "Modelling Mean Years of Schooling (MYS) Districts/Cities of West Kalimantan Province." International Journal of Social Science and Human Research 07, no. 06 (2024): 3605–13. https://doi.org/10.5281/zenodo.11444695.

Full text

Abstract:

Mean years of schooling (MYS) is one of the indicators measuring the quality of education in Indonesia, regulated through the nine-year compulsory education policy. West Kalimantan Province is one of the provinces with the lowest MYS rates in Indonesia, with only one out of its 13 districts/cities fulfilling the compulsory education policy. Therefore, research is needed to obtain the best model and understand the factors that influence the MYS districts/cities of West Kalimantan Province. This study uses the Geographically Weighted Panel Regression (GWPR) analysis method, due to the annual cha

APA, Harvard, Vancouver, ISO, and other styles

16

Ananda, Ni Made Shantia, Suyitno Suyitno, and Meiliyani Siringoringo. "Geographically Weighted Panel Regression Modelling of Human Development Index Data in East Kalimantan Province in 2017-2020." Jurnal Matematika, Statistika dan Komputasi 19, no. 2 (2023): 323–41. http://dx.doi.org/10.20956/j.v19i2.23775.

Full text

Abstract:

Geographically Weighted Panel Regression (GWPR) model is a panel regression model applied on spatial data. This research applied Fixed Effect Model (FEM) on panel regression as the global model and GWPR as the local model for Human Development Index (HDI) regencies/municipalities in East Kalimantan Province data over the years 2017-2020. The aim of this research is to obtain the GWPR model of HDI data, as well as to acquire factors that influence it. The parameter of GWPR model was estimated on each observation location using the Weighted Least Square (WLS) method, namely Ordinary Least Square

APA, Harvard, Vancouver, ISO, and other styles

17

Raihani, Risti, Sifriyani Sifriyani, and Surya Prangga. "Geographically Weighted Panel Regression Modelling of Dengue Hemorrhagic Fever Data Using Exponential Kernel Function." JTAM (Jurnal Teori dan Aplikasi Matematika) 7, no. 4 (2023): 961. http://dx.doi.org/10.31764/jtam.v7i4.16235.

Full text

Abstract:

Geographically Weighted Panel Regression (GWPR) model is a panel regression model applied to spatial data. This research takes the Fixed Effect Model (FEM) panel regression as the global model and GWPR as the local model for dengue hemorrhagic fever (DHF) in East Kalimantan Province data over the years 2018-2020. DHF is a disease that has the potential to become an extraordinary event which is accompanied by death. In comparison to Indonesia, East Kalimantan Province's DHF Incident Rate (IR) was high in 2020. East Kalimantan's IR is 60.6 per 100,000 population, compared to Indonesia's IR of 40

APA, Harvard, Vancouver, ISO, and other styles

18

Nabila Miftakhurriza, Jelita Zalzabila, Siswanto, Anisa Kalondeng, Andi Isna Yunita, and Samsir Aditya Ania. "GEOGRAPHICALLY WEIGHTED PANEL REGRESSION MODELING ON LIFE EXPECTANCY RATE IN SOUTH SULAWESI." Parameter: Journal of Statistics 4, no. 2 (2024): 93–102. https://doi.org/10.22487/27765660.2024.v4.i2.17267.

Full text

Abstract:

Geographically Weighted Panel Regression (GWPR) is one of the panel data regression approaches used in spatial data analysis. This study uses the global Fixed Effect Model (FEM) panel regression model and the local GWPR model to examine Life Expectancy Rate (LER) at the district/city level in South Sulawesi Province in 2019-2021. LER is an important indicator that reflects the health and welfare of the community. This research aims to develop a GWPR model that can explain variations in LER and identify factors that affect that variable, so that it can help stakeholders in allocating resources

APA, Harvard, Vancouver, ISO, and other styles

19

Allen, Douglas R., Karl W. Hoppel, Gerald E. Nedoluha, Stephen D. Eckermann, and Cory A. Barton. "Ensemble-Based Gravity Wave Parameter Retrieval for Numerical Weather Prediction." Journal of the Atmospheric Sciences 79, no. 3 (2022): 621–48. http://dx.doi.org/10.1175/jas-d-21-0191.1.

Full text

Abstract:

Abstract Gravity wave (GW) momentum and energy deposition are large components of the momentum and heat budgets of the stratosphere and mesosphere, affecting predictability across scales. Since weather and climate models cannot resolve the entire GW spectrum, GW parameterizations are required. Tuning these parameterizations is time-consuming and must be repeated whenever model configurations are changed. We introduce a self-tuning approach, called GW parameter retrieval (GWPR), applied when the model is coupled to a data assimilation (DA) system. A key component of GWPR is a linearized model o

APA, Harvard, Vancouver, ISO, and other styles

20

Mumtaz, Ghina Fadhilla, Suyitno Suyitno, and Sifriyani Sifriyani. "GEOGRAPHICALLY WEIGHTED PANEL REGRESSION MODELING OF POVERTY RATES IN TROPICAL RAINFOREST AREAS OF KALIMANTAN." BAREKENG: Jurnal Ilmu Matematika dan Terapan 19, no. 2 (2025): 903–16. https://doi.org/10.30598/barekengvol19iss2pp903-916.

Full text

Abstract:

When applied to spatial panel data, the Geographically Weighted Panel Regression (GWPR) model is a localized version of the linear regression model. The Fixed Effect Model (FEM) inside estimator is used as a global model in this investigation. The purpose of this research is to obtain a GWPR model and identify the variables that affect the proportion of the impoverished in 56 districts and cities located in Kalimantan's humid tropical forest region between 2019 and 2022. The Weighted Least Square (WLS) approach, which provides geographic weighting in addition to the Least Square method, is use

APA, Harvard, Vancouver, ISO, and other styles

21

Albhadili, Suaad, Inass Almallah, and Saher Almulla. "Mapping Ground Water Potential Recharge Zones of Wadi Al-Batin Alluvial Fan, Using Remote Sensing and GIS Techniques, Southwestern Iraq." Iraqi Bulletin of Geology and Mining 19, no. 1a (2023): 99–115. http://dx.doi.org/10.59150/ibgm1901a07.

Full text

Abstract:

Groundwater potential recharge (GWPR) zones are an important process in managing water resources. Six thematic layers were used to produce GWPR mapping for Wadi Al-Batin alluvial fan, Southwestern Iraq with GIS environment and analytical hierarchical process (AHP), including geology, lineaments density, slope gradient, drainage density, soil, and slope aspect. Based on the importance, the thematic layers are ranked, which control the GWPR. Drainage density, lineament density, slope aspect, and slope gradient maps are classified into five classes, whereas, geology and soil are classified into s

APA, Harvard, Vancouver, ISO, and other styles

22

Nasri, Ramadhoni, Nurul Gusriani, and Nursanti Anggriani. "GEOGRAPHICALLY WEIGHTED PANEL REGRESSION (GWPR) MODEL FOR POVERTY DATA IN WEST JAVA PROVINCE 2019-2021." Jurnal Diferensial 5, no. 2 (2023): 106–16. http://dx.doi.org/10.35508/jd.v5i2.12213.

Full text

Abstract:

The problem of poverty in West Java shows a pattern that tends to be concentrated in adjacent areas, indicating spatial heterogeneity in the problem. On the other hand, poverty in West Java also shows an increasing trend from year to year so that dynamic changes occur in various regions. From this situation, it is necessary to know the factors that affect poverty spatially using panel data. One way is to model the poverty problem with the Geographically Weighted Panel Regression (GWPR) model. The GWPR model is the development of a regression model that combines Geographically Weighted Regressi

APA, Harvard, Vancouver, ISO, and other styles

23

Aulele, Salmon N. "MODEL GEOGRAPHICALLY WEIGHTED POISSON REGRESSION DENGAN PEMBOBOT FUNGSI KERNEL GAUSS." BAREKENG: Jurnal Ilmu Matematika dan Terapan 5, no. 2 (2011): 25–30. http://dx.doi.org/10.30598/barekengvol5iss2pp25-30.

Full text

Abstract:

Kematian bayi adalah suatu kematian yang dialami anak sebelum mencapai usia satu tahun. Angka kematian bayi (AKB) adalah besarnya kemungkinan bayi meninggal sebelum mencapai usia satu tahun, dinyatakan dalam perseribu kelahiran hidup. Analisis regresi merupakan analisis statistik yang bertujuan untuk memodelkan hubungan antara variabel respon dengan variabel prediktor. Apabila variabel respon berdistribusi Poisson, maka model regresi yang digunakan adalah regresi Poisson. Geographically Weighted Poisson Regression (GWPR) adalah bentuk lokal dari regresi Poisson dimana lokasi diperhatikan yang

APA, Harvard, Vancouver, ISO, and other styles

24

Chen, Jianguo, Lin Liu, Luzi Xiao, Chong Xu, and Dongping Long. "Integrative Analysis of Spatial Heterogeneity and Overdispersion of Crime with a Geographically Weighted Negative Binomial Model." ISPRS International Journal of Geo-Information 9, no. 1 (2020): 60. http://dx.doi.org/10.3390/ijgi9010060.

Full text

Abstract:

Negative binomial (NB) regression model has been used to analyze crime in previous studies. The disadvantage of the NB model is that it cannot deal with spatial effects. Therefore, spatial regression models, such as the geographically weighted Poisson regression (GWPR) model, were introduced to address spatial heterogeneity in crime analysis. However, GWPR could not account for overdispersion, which is commonly observed in crime data. The geographically weighted negative binomial model (GWNBR) was adopted to address spatial heterogeneity and overdispersion simultaneously in crime analysis, bas

APA, Harvard, Vancouver, ISO, and other styles

25

Meytiara, Mestika, and Anneke Iswani Achmad. "Geographically Weighted Poisson Regression dengan Fungsi Pembobot Kernel Gaussian untuk Pemodelan Jumlah Kematian Bayi di Jawa Barat pada Tahun 2019." Bandung Conference Series: Statistics 2, no. 2 (2022): 499–506. http://dx.doi.org/10.29313/bcss.v2i2.4769.

Full text

Abstract:

Abstract. Regression analysis is a statistical analysis that aims to model the relationship between independent variables with dependent variables. If the independent variable is Poisson-distributed then the regression model used is Poisson regression. Geographically Weighted Poisson Regression (GWPR) is a local form of Poisson regression where the location of data collection is considered. In this study, Geographically Weighted Poisson Regression (GWPR) will be used to model the number of infant mortality in West Java in 2019 using the Gaussian kernel weighting function. This study aims to ob

APA, Harvard, Vancouver, ISO, and other styles

26

Destyanugraha, Rivan, and Robert Kurniawan. "PEMODELAN ANGKA KEMATIAN IBU DI INDONESIA DENGAN PENDEKATAN GEOGRAPHICALLY WEIGHTED POISSON REGRESSION." Jurnal Matematika Sains dan Teknologi 18, no. 2 (2017): 76–94. http://dx.doi.org/10.33830/jmst.v18i2.131.2017.

Full text

Abstract:

Maternal Mortality Rate (MMR) is one of the important indicators of a country's health development and is one of the targets of achieving Sustainable Development Goals (SDGs). This study aims to develop a model on the relationship of MMR with provincial health development variables using the Geographically Weighted Poisson Regression (GWPR) method; as well as mapping the model to the provincial map. Estimation of model parameters using PODES data for 2011 and the projected health and projection profile of 2010-2013. The obtained model consists of four variables that influence the number of mat

APA, Harvard, Vancouver, ISO, and other styles

27

Febrianti, Endah, Budi Susetyo, and Pika Silvianti. "Pemodelan Tingkat Kriminalitas di Indonesia Menggunakan Analisis Geographically Weighted Panel Regression." Xplore: Journal of Statistics 12, no. 1 (2023): 91–109. http://dx.doi.org/10.29244/xplore.v12i1.950.

Full text

Abstract:

Kriminalitas merupakan salah satu masalah sosial ekonomi yang sampai saat ini belum terselesaikan di Indonesia. Meski Indonesia masuk kategori negara yang aman dikunjungi, kenyataannya masih banyak masyarakat Indonesia yang mengalami tindak kriminalitas. Penyelesaian masalah sosial ekonomi ini menjadi sangat penting karena menyangkut keamanan dan kenyamanan masyarakat. Penelitian ini bertujuan mengidentifikasi faktor-faktor yang memengaruhi tingkat kriminalitas di Indonesia dan menentukan model terbaik dari setiap provinsi dengan membandingkan antara model regresi data panel dan model Geograph

APA, Harvard, Vancouver, ISO, and other styles

28

Wati, Fatma, Suyitno Suyitno, and Memi Nor Hayati. "Pencegahan Penyakit Kusta di Lingkungan Hutan Tropis Lembab Kalimantan Melalui Pemodelan Geographically Weighted Poisson Regression." EKSPONENSIAL 12, no. 1 (2021): 27. http://dx.doi.org/10.30872/eksponensial.v12i1.756.

Full text

Abstract:

Geographically Weighted Poisson Regression (GWPR) model is a regression model developed from Poisson regression which is applied to spatial data. Parameter estimation of the GWPR model is done at each observation location using spatial weighting. This study goal is to obtain the GWPR model and the factors influencing the number of leprosy cases in each regency(municipality) on Kalimantan Island in 2018. Spatial weighting was obtained by using the adaptive bisquare kernel function and optimal bandwidth was determined by using Generalized Cross-Validation (GCV) criteria. The data of this study w

APA, Harvard, Vancouver, ISO, and other styles

29

Sun, Yuman, Weiwei Jia, Haotian Guo, et al. "Comparison of Global and Local Poisson Models for the Number of Recruitment Trees in Natural Forests." Forests 14, no. 4 (2023): 739. http://dx.doi.org/10.3390/f14040739.

Full text

Abstract:

The recruitment of natural forests is the key to stand growth and regeneration. Constructing theoretical models for recruitment trees is crucial for accurately quantifying stand growth and yield. To this end, the objective was to use relevant Poisson models to study the spatial relationships between the number of recruitment trees (NRTs) and driving factors, such as topography, stand, and remote sensing factors. Taking the Northeast China Liangshui Nature Reserve as the study area and 127 ecological public welfare forest plots based on grid sampling as study data, we constructed global models

APA, Harvard, Vancouver, ISO, and other styles

30

Sintia, Ineu, Suyitno Suyitno, and Memi Nor Hayati. "Geographically Weighted Poisson Regression Model with Adaptive Bisquare Weighting Function (Case study: data on number of leprosy cases in Indonesia 2020)." Jurnal Matematika, Statistika dan Komputasi 19, no. 1 (2022): 124–45. http://dx.doi.org/10.20956/j.v19i1.21879.

Full text

Abstract:

Abstract Geographically Weighted Poisson Regression (GWPR) is a Poisson regression model which is applied on spatial data. The parameter estimation of GWPR is done in each observation location through spatial weighting. This study aims to determine the GWPR model of the number of leprosy cases in each province of Indonesia 2020 and to find the influencing factors. The research uses secondary data collected from Indonesian Ministry of Health and Central Statistics Agency. The spatial weighting is calculated by using the adaptive bisquare function, while the optimum bandwidth is determined by us

APA, Harvard, Vancouver, ISO, and other styles

31

Nisa, Khoirin. "Penerapan Model Geographically Weighted Poisson Regression untuk Demam Berdarah Dengue Di Kabupaten Bojonegoro." Jurnal Statistika dan Komputasi 1, no. 1 (2022): 12–22. http://dx.doi.org/10.32665/statkom.v1i1.444.

Full text

Abstract:

Latar Belakang: Kasus Demam Berdarah Dengue (DBD) di Kabupaten Bojonegoro meningkat dari tahun 2017 sampai tahun 2019. Hal ini menjadi sulit karena wilayah geografis yang sangat luas di setiap Kecamatan. Untuk menganalisis masalah ini, perlu diberikan pemodelan regresi spasial yang memperhitungkan perbedaan wilayah. Tujuan: Menganalisis pengaruh variabel-variabel prediktor terhadap banyaknya kasus DBD per Kecamatan di Kabupaten Bojonegoro dengan model Geographically Weighted Poisson Regression (GWPR). Metode: Menerapkan metode kuantitatif berupa pemodelan GWPR dengan perbandingan kernel yaitu

APA, Harvard, Vancouver, ISO, and other styles

32

Saska, Indria, and Sifriyani Sifriyani. "IMPLEMENTATION OF GEOGRAPHICALLY WEIGHTED PANEL REGRESSION WITH GAUSSIAN KERNEL WEIGHTING FUNCTION IN THE OPEN UNEMPLOYMENT RATE MODEL." BAREKENG: Jurnal Ilmu Matematika dan Terapan 19, no. 2 (2025): 733–42. https://doi.org/10.30598/barekengvol19iss2pp733-742.

Full text

Abstract:

This study analyzes the factors influencing the Open Unemployment Rate in Kalimantan using the Geographically Weighted Panel Regression (GWPR) model with Gaussian kernel weighting functions. The GWPR model, a local panel regression approach for spatial data, is compared with the global Fixed Effect Model (FEM). Spatial weighting for parameter estimation employs Fixed Gaussian and Adaptive Gaussian kernels, with the optimum bandwidth determined through Cross Validation (CV), resulting in a minimum CV value of 25.536 for the Adaptive Gaussian Kernel. Local factors identified as influencing the O

APA, Harvard, Vancouver, ISO, and other styles

33

Arum, Prizka Rismawati, and Siva Alfian. "Pemodelan Pertumbuhan Ekonomi di Jawa Barat Menggunakan Metode Geographically Weighted Panel Regression." J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika 15, no. 2 (2022): 219–27. http://dx.doi.org/10.36456/jstat.vol15.no2.a5506.

Full text

Abstract:

Salah satu tujuan negara adalah meningkatkan pertumbuhan ekonomi. Diperlukan pembangunan ekonomi untuk mewujudkan tujuan tersebut demi mencapai masyarakat yang sejahtera. Salah satu indikator pertumbuhan ekonomi adalah Produk Domestik Regional Bruto (PDRB). Data yang digunakan yaitu data sekunder tentang produk domestik regional bruto, jumlah penduduk miskin, pengeluaran pemerintah, rata - rata lama sekolah, tingkat partisipasi angkatan kerja, fasilitas kesehatan, tingkat pengangguran terbuka, pada tahun 2018 - 2020 di Provinsi Jawa Barat. Ternyata terdapat autokorelasi spasial dalam data ters

APA, Harvard, Vancouver, ISO, and other styles

34

Meutuah, Yasin, and Maruddani. "PEMODELAN FIXED EFFECT GEOGRAPHICALLY WEIGHTED PANEL REGRESSION UNTUK INDEKS PEMBANGUNAN MANUSIA DI JAWA TENGAH." Jurnal Gaussian 6, no. 2 (2017): 241–50. https://doi.org/10.5281/zenodo.1065051.

Full text

Abstract:

Human development index is an indicator for assessing the quality of human resources and  measure the results of human development. The achievements of the human development index is not enough if conducting observations in each cities in just one particular time, but the observations  need to be made in some period of time. The distribution in each cities is also a concern, because the conditions are so diverse that led to their spatial effects. Therefore, it is necessary to study these variables in some time periods that affect human development index taking into acc

APA, Harvard, Vancouver, ISO, and other styles

35

ABDULLAH RIFQI. "Identification of factors affecting the cases of under-age female marriage using geographically weighted panel regression approach in south kalimantan province." Proceedings of The International Conference on Data Science and Official Statistics 2023, no. 1 (2023): 537–45. http://dx.doi.org/10.34123/icdsos.v2023i1.337.

Full text

Abstract:

The topic of this study was chosen because the percentage of underage female marriages in South Kalimantan Province was the highest in Indonesia over the last five years, from 2018 to 2022. This signifies that there are social issues in the local community that the government must address. One possible answer is to identify the factors that contribute to the creation of these conditions in each region. Using the Geographically Weighted Panel Regression (GWPR) method, this study attempts to determine the factors that influence the rise of underage female marriage instances in South Kalimantan P

APA, Harvard, Vancouver, ISO, and other styles

36

Tiemtore, Abel. "Spatial variability in agricultural yield responses to climate change: Implications for index insurance in Burkina Faso." African Journal of Agricultural and Resource Economics 19, no. 4 (2024): 400–414. https://doi.org/10.53936/afjare.2024.19(4).24.

Full text

Abstract:

Index-based insurance has emerged as a compelling strategy for agricultural risk management in Africa, particularly in contexts where smallholder farmers are disproportionately exposed to climaterelated hazards. Despite its potential, the effectiveness of this mechanism is often constrained by the spatial heterogeneity of crop yield responses to climatic variables – an issue that significantly contributes to basis risk. This study investigates the value added by spatial econometric approaches, with a focus on the geographically weighted panel regression (GWPR) model, in enhancing the calibrati

APA, Harvard, Vancouver, ISO, and other styles

37

Meliyana, Sitti Masyitah, Ansari Saleh Ahmar, and Siti Nurazizah Auliah. "Geographically Weighted Poisson Regression (GWPR) Model with Fixed Gaussian Kernel and Fixed Bi-square Kernel Weights." ARRUS Journal of Social Sciences and Humanities 5, no. 2 (2025): 896–909. https://doi.org/10.35877/soshum3812.

Full text

Abstract:

This study aims to model the spatial distribution of tuberculosis (TB) cases in Makassar City in 2022 using the Geographically Weighted Poisson Regression (GWPR) approach. This method extends Poisson regression by incorporating spatial heterogeneity, weighting each location based on its geographical proximity. Two types of kernel weighting functions, fixed Gaussian kernel and fixed bi-square kernel, were used to determine the most effective model for identifying key factors influencing TB case numbers. The parameter estimation results indicate that the GWPR model with fixed bi-square kernel pe

APA, Harvard, Vancouver, ISO, and other styles

38

Prahutama, Alan, Budi Warsito, and Moch Abdul Mukid. "ANALYSIS OF THE NUMBER INFANT AND MATERNAL MORTALITY IN CENTRAL JAVA INDONESIA USING SPATIAL-POISSON REGRESSION." MEDIA STATISTIKA 11, no. 2 (2018): 135–45. http://dx.doi.org/10.14710/medstat.11.2.135-145.

Full text

Abstract:

Maternal and infant mortality are one of the most dangerous problems of the community since it can profoundly affect the number and composition of the population. Currently, the government has been taking heed on the attempt of reducing the number of maternal and newborn mortality in Central Java which requires data and information entirely. Poisson regression is a nonlinear regression that is often used to model the relationship between response variables in the form of discrete data with predictor variables in the form of discrete or continuous data. In space analysis, GWPR is one of method

APA, Harvard, Vancouver, ISO, and other styles

39

Mar'ah, Zakiyah, and Sifriyani Sifriyani. "GEOGRAPHICALLY WEIGHTED PANEL REGRESSION (GWPR) FOR COVID-19 CASE IN INDONESIA." BAREKENG: Jurnal Ilmu Matematika dan Terapan 17, no. 2 (2023): 0879–86. http://dx.doi.org/10.30598/barekengvol17iss2pp0879-0886.

Full text

Abstract:

Coronavirus disease 2019 (COVID-19) is a newly emerging infectious disease caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) which was declared a pandemic by the World Health Organization (WHO) on March 11th, 2020. The response to this ongoing pandemic requires extensive collaboration across the scientific community to contain its impact and limit further transmission. Modeling to see cause-and-effect relationships in an event usually uses the Multiple Linear Regression (Ordinary Least Square) method. But in the case of Covid-19, the spread of the virus occurred from one l

APA, Harvard, Vancouver, ISO, and other styles

40

Siswanto, Siswanto, Edy Saputra R, Nurtiti Sunusi, and Nirwan Ilyas. "Comparison of Negative Binomial Regression Model and Geographically Weighted Poisson Regression on Infant Mortality Rate in South Sulawesi Province." Indonesian Journal of Statistics and Its Applications 6, no. 2 (2022): 170–79. http://dx.doi.org/10.29244/ijsa.v6i2p170-179.

Full text

Abstract:

The number of infant mortality cases is an important indicator to assess the quality of a country's public health. A number of studies argue that the case of infant mortality has a close relation to the living area condition and the social status of the parents. Indirectly, the quality of life of babies in a country will impact the nation's quality of life in general. Therefore, many efforts are required to reduce the infant mortality in Indonesia. One of the steps that could be done to overcome this issue is to analyze the causative factors. The statistical method that has been developed for

APA, Harvard, Vancouver, ISO, and other styles

41

ASTARI, GUSTI AYU RATIH, I. GUSTI AYU MADE SRINADI, and MADE SUSILAWATI. "PEMODELAN JUMLAH ANAK PUTUS SEKOLAH DI PROVINSI BALI DENGAN PENDEKATAN SEMI-PARAMETRIC GEOGRAPHICALLY WEIGHTED POISSON REGRESSION." E-Jurnal Matematika 2, no. 3 (2013): 29. http://dx.doi.org/10.24843/mtk.2013.v02.i03.p045.

Full text

Abstract:

Dropout number is one of the important indicators to measure the human progress resources in education sector. This research uses the approaches of Semi-parametric Geographically Weighted Poisson Regression to get the best model and to determine the influencing factors of dropout number for primary education in Bali. The analysis results show that there are no significant differences between the Poisson regression model with GWPR and Semi-parametric GWPR. Factors which significantly influence the dropout number for primary education in Bali are the ratio of students to school, ratio of student

APA, Harvard, Vancouver, ISO, and other styles

42

Tavares, Joana Paulo, and Ana Cristina Costa. "Spatial Modeling and Analysis of the Determinants of Property Crime in Portugal." ISPRS International Journal of Geo-Information 10, no. 11 (2021): 731. http://dx.doi.org/10.3390/ijgi10110731.

Full text

Abstract:

Many researchers have unraveled innovative ways of examining geographic information to better understand the determinants of crime, thus contributing to an improved understanding of the phenomenon. Property crimes represent more than half of the crimes reported in Portugal. This study investigates the spatial distribution of crimes against property in mainland Portugal with the primary goal of determining which demographic and socioeconomic factors may be associated with crime incidence in each municipality. For this purpose, Geographic Information System (GIS) tools were used to analyze spati

APA, Harvard, Vancouver, ISO, and other styles

43

Yansi, Felicitas Avelline, Noeryanti, and Noviana Pratiwi. "PEMODELAN GEOGRAPHICALLY WEIGHTED PANEL REGRESSION MENGGUNAKAN PEMBOBOT KERNEL GAUSSIAN DAN KERNEL BI-SQUARE PADA KEMISKINAN DI PAPUA." Jurnal Statistika Industri dan Komputasi 9, no. 1 (2024): 21–31. http://dx.doi.org/10.34151/statistika.v9i1.4829.

Full text

Abstract:

Papua merupakan provinsi dengan tingkat kemisikinan tertinggi di Indonesia. Jumlah penduduk miskin di Papua selama tahun 2019-2021 cukup fluktuatif. Kemiskinan disebabkan oleh banyak faktor, antara lain kesulitan dalam memenuhi kebutuhan dasar, kesulitan dalam memperoleh pendidikan dan pekerjaan. Penelitian ini bertujuan untuk melakukan pemodelan Geographically Weighted Panel Regression menggunakan fungsi pembobot adaptive kernel gaussian dan adaptive kernel bi-square pada jumlah penduduk miskin di Papua. Dalam suatu penelitian tidak cukup melakukan pengamatan dalam satu waktu tertentu, tetapi

APA, Harvard, Vancouver, ISO, and other styles

44

Fundisi, Emmanuel, Simangele Dlamini, Tholang Mokhele, Gina Weir-Smith, and Enathi Motolwana. "Exploring Determinants of HIV/AIDS Self-Testing Uptake in South Africa Using Generalised Linear Poisson and Geographically Weighted Poisson Regression." Healthcare 11, no. 6 (2023): 881. http://dx.doi.org/10.3390/healthcare11060881.

Full text

Abstract:

Increased HIV/AIDS testing is of paramount importance in controlling the HIV/AIDS pandemic and subsequently saving lives. Despite progress in HIV/AIDS testing programmes, most people are still reluctant to test and thus are still unaware of their status. Understanding the factors associated with uptake levels of HIV/AIDS self-testing requires knowledge of people’s perceptions and attitudes, thus informing evidence-based decision making. Using the South African National HIV Prevalence, HIV Incidence, Behaviour and Communication Survey of 2017 (SABSSM V), this study assessed the efficacy of Gene

APA, Harvard, Vancouver, ISO, and other styles

45

Asnita, Asnita, Sifriyani Sifriyani, and Meirinda Fauziyah. "ESTIMATION OF GEOGRAPHICALLY WEIGHTED PANEL REGRESSION MODEL WITH BISQUARE KERNEL WEIGHTING FUNCTION ON PERCENTAGE OF STUNTING TODDLERS IN INDONESIA." BAREKENG: Jurnal Ilmu Matematika dan Terapan 18, no. 1 (2024): 0383–94. http://dx.doi.org/10.30598/barekengvol18iss1pp0383-0394.

Full text

Abstract:

Stunting is a condition of failure to thrive in children under five years old due to chronic malnutrition. Efforts that can be made to reduce the incidence of stunting in Indonesia are to identify factors that are thought to affect the incidence of stunting in Indonesia. The analysis methods used in this study are the global Fixed Effect Model (FEM) and the local Geographically Weighted Panel Regression (GWPR) model. FEM is a global regression model that assumes that each individual's model has a different intercept value. While GWPR is a local regression model from FEM that considers aspects

APA, Harvard, Vancouver, ISO, and other styles

46

Ma, Cong, Ruiliang Pu, Joni Downs, and He Jin. "Characterizing Spatial Patterns of Amazon Rainforest Wildfires and Driving Factors by Using Remote Sensing and GIS Geospatial Technologies." Geosciences 12, no. 6 (2022): 237. http://dx.doi.org/10.3390/geosciences12060237.

Full text

Abstract:

Known as the “lung of the planet,” the Amazon rainforest produces more than 20% of the Earth’s oxygen. Once a carbon pool for mitigating climate change, the Brazilian Amazônia Biome recently has become a significant carbon emitter due to increasingly frequent wildfires. Therefore, it is of crucial importance for authorities to understand wildfire dynamics to manage them safely and effectively. This study incorporated remote sensing and spatial statistics to study both the spatial distribution of wildfires during 2019 and their relationships to 15 environmental and anthropogenic factors. First,

APA, Harvard, Vancouver, ISO, and other styles

47

Saifudin, Toha, Nur Rahmah Miftakhul Jannah, Risky Wahyuningsih, and Gaos Tipki Alpandi. "Geographically Weighted Poisson Regression for Modeling the Number of Maternal Deaths in Papua Province." Jurnal Aplikasi Statistika & Komputasi Statistik 16, no. 1 (2024): 32–42. http://dx.doi.org/10.34123/jurnalasks.v16i1.598.

Full text

Abstract:

Introduction/Main Objectives: Maternal Mortality Rate (MMR) in Indonesia is one of the main focuses in achieving the third Sustainable Development Goals (SDGs) in 2030. Background Problems: The Central Statistics Agency states that the MMR in Papua Province is the highest, reaching 565. Novelty: Given the diverse geographical conditions of each district/city in Papua Province, an analysis was carried out. Research Methods: Using the Geographically Weighted Poisson Regression (GWPR) method with the response variable being maternal mortality rates and variables predictors of health, social, and

APA, Harvard, Vancouver, ISO, and other styles

48

Yuliana, Alfa, and Achmad Fauzan. "SPATIAL MODELING OF MATERNAL HEALTH: GEOGRAPHICALLY WEIGHTED POISSON REGRESSION ON MATERNAL MORTALITY FACTORS." BAREKENG: Jurnal Ilmu Matematika dan Terapan 19, no. 1 (2025): 557–70. https://doi.org/10.30598/barekengvol19iss1pp557-570.

Full text

Abstract:

Data from the 2021 West Java Provincial Health Profile Report, accessed from the official website of the West Java Provincial Health Office, reveals a significant surge in maternal mortality cases, rising from 165 in 2020 to 460 in 2021. In support of efforts to reduce maternal mortality rates, this study investigates the contributing factors to this phenomenon across various districts in West Java Province. The data used is from the year 2021. This study aims to evaluate the effectiveness of Poisson regression, negative binomial regression, and Geographically Weighted Poisson Regression (GWPR

APA, Harvard, Vancouver, ISO, and other styles

49

Shen, Pengxia, Ping Yin, and Bingjie Niu. "Assessing the Combined Effects of Transportation Infrastructure on Regional Tourism Development in China Using a Spatial Econometric Model (GWPR)." Land 12, no. 1 (2023): 216. http://dx.doi.org/10.3390/land12010216.

Full text

Abstract:

Transportation infrastructure plays an important role in tourism, and the spatial econometric model (GWPR) can offer quantitative support for regionalized development policies in transportation infrastructure. Panel data from 30 provinces were collected for a decade before the COVID-19 pandemic. We show that the GWPR model is a superior tool for assessing the combined impact of transportation infrastructure on tourism and its spatial heterogeneity. The effects of transportation infrastructure on tourism have historically been overwhelmingly positive, with the positive effect of high-speed rail

APA, Harvard, Vancouver, ISO, and other styles

50

Manyangadze, T., M. Chimbari, M. Macherera, and S. Mukaratirwa. "Micro-spatial distribution of malaria cases and control strategies at ward level in Gwanda district, Matabeleland South, Zimbabwe." Malaria Journal 16, no. 476 (2017): 1–11. https://doi.org/10.1186/s12936-017-2116-1.

Full text

Abstract:

Background: Although there has been a decline in the number of malaria cases in Zimbabwe since 2010, the disease remains the biggest public health threat in the country. Gwanda district, located in Matabeleland South Province of Zimbabwe has progressed to the malaria pre-elimination phase. The aim of this study was to determine the spatial distribution of malaria incidence at ward level for improving the planning and implementation of malaria elimination in the district. Methods: The Poisson purely spatial model was used to detect malaria clusters and their properties, including relative risk

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!