Gis-Based Student Geographic Data Mapping: Islamic University Strategy For Incoming Students,
2025
IAIN Lhokseumawe
Gis-Based Student Geographic Data Mapping: Islamic University Strategy For Incoming Students, Hasna Tuddar Putri, Laiyina Ukhti, Mahdi Mahdi, Yuli Damayanti
Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi
IAIN Lhokseumawe is one of the Islamic universities in Aceh that is situated in a location conducive to attracting more students. Nevertheless, this has kept the number of students enrolling at IAIN Lhokseumawe. Over the past five years, the number of students at IAIN Lhokseumawe has fluctuated. The data indicate a need for more linearity in the fan and subscriber trends. Following the implementation of the promotional strategy, the outcome remained unchanged. Consequently, IAIN Lhokseumawe must re-examine the rationale behind student decision-making processes when selecting educational institutions. This approach will allow IAIN Lhokseumawe to develop innovative strategies to increase student …
Analysis Of Knowledge, Utilization, And Technology Adoption Of Digital Learning Resource By Geography Teachers In Sragen And Karanganyar, Indonesia,
2025
Universitas Muhammadiyah Surakarta, Indonesia
Analysis Of Knowledge, Utilization, And Technology Adoption Of Digital Learning Resource By Geography Teachers In Sragen And Karanganyar, Indonesia, Wahyu Widiyatmoko, Ratih Puspita Dewi, Siti Azizah Susilawati, Muhammad Musiyam, Devi Nurhalimah, Muslihah Juwita Hapsari, Dias Aziz Pramudita
Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi
Digital competence is essential for all teachers, including geography teachers. This research aims to analyze the knowledge, utilization, and level of technology adoption of digital learning resources among geography teachers in Sragen and Karanganyar. This study is quantitative research with a survey design. The population of this study consists of all geography teachers in Sragen and Karanganyar, totaling 65 teachers, and this population is used as the sample. The variables used in this research are the level of knowledge, utilisation, and adoption of digital learning resources for teaching GIS material. Data collection was carried out using questionnaires completed by respondents …
The Role Of Visual Analytics In Remote Sensing Spatial Data Interpretation,
2025
Universitas Gadjah Mada, Indonesia
The Role Of Visual Analytics In Remote Sensing Spatial Data Interpretation, Iswari Nur Hidayati, R Suharyadi, Andhika Wisnu Pratama, Herdiansyah Herdiansyah
Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi
In remote sensing spatial data analysis, various methods are used to understand and evaluate the information obtained. The approach used so far is remote sensing visual analysis which offers various advantages compared to other methods. Visual analysis utilizes visualization techniques to facilitate the identification and interpolation of highly complex patterns of presented spatial data. The main advantage of this analysis is that it presents information that is easy to understand with an approach to spatial data interpretation elements. Another advantage of visual analysis is that it presents intuitive data that allows it to be analyzed quickly, observing relationships and changes …
Groundwater Conservation Zone Model To Support Sustainable Tourism In Coastal Areas: A Case Study In Parangtritis Village, Yogyakarta, Indonesia,
2025
Universitas Amikom Yogyakarta, Indonesia
Groundwater Conservation Zone Model To Support Sustainable Tourism In Coastal Areas: A Case Study In Parangtritis Village, Yogyakarta, Indonesia, Sadewa Purba Sejati, Rivi Neritarani, Mohd Hairy Ibrahim
Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi
This study aims to determine the environmental characteristics in coastal areas and determine the groundwater conservation zone model in coastal regions. The research was conducted in Parangtritis Village, Bantul Regency, Yogyakarta. The data includes aquifer types, aeration zone materials, and groundwater depth. The data was processed and analysed using Arc GIS Pro software version 2.5. The data were processed by plotting and spatial interpolation techniques to produce thematic maps of environmental characteristics, namely aquifer-type maps, aeration zone material maps, groundwater depth maps, and land use maps. The thematic maps that have been generated are then classified and scored. The classification …
Student’S Disaster Preparedness Of Merapi Volcano, Indonesia Using Learning Simulation Virtual Reality (Lsvr) Model,
2025
Universitas Negeri Semarang, Indonesia
Student’S Disaster Preparedness Of Merapi Volcano, Indonesia Using Learning Simulation Virtual Reality (Lsvr) Model, Andi Irwan Benardi, Sumarmi Sumarmi, Syamsul Bachri, Erni Suharini, Atta Ur Rahman, Sriyono Sriyono, Saiful Amin, Joshua Vincent Gerar Yametis
Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi
This study evaluates the effectiveness of the Learning Simulation Virtual Reality (LSVR) model in enhancing disaster preparedness for Merapi Volcano and examines the relationship between disaster preparedness and student learning outcomes. Conducted with 120 students from two senior high schools located in disaster-prone areas near Merapi Volcano in Sleman Regency, Yogyakarta Province, Indonesia, the research employed a quasi-experimental design with a pretest-posttest control group setup. Essay-based assessments measured learning outcomes, while surveys gauged disaster preparedness levels. The analysis utilized an independent sample t-test and descriptive statistics, revealing the LSVR model’s strengths in delivering innovative and effective content, appealing design, and …
Analysis Of Erosion Rates In North Jakarta For Predicting The Ages Of North Sunter And Pluit Reservoirs,
2025
Universitas Negeri Malang
Analysis Of Erosion Rates In North Jakarta For Predicting The Ages Of North Sunter And Pluit Reservoirs, Listyo Yudha Irawan, Ghairandi Al Abrar, Mohammad Tahir B Mapa, Adi Jafar, Shafi Noor Islam, Siti Nur Farihah, Febrian Eka Ardiansyah
Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi
The Pluit and North Sunter Reservoirs play a critical role in the city’s hydrological infrastructure, particularly in meeting the increasing water demands driven by population growth. However, continuous population shifts, deforestation, and changes in land use have led to sediment accumulation, affecting both water quality and the reservoirs’ operational lifespan. This study aims to evaluate the erosion rate and predict the potential lifespans of the Sunter Utara and Pluit Reservoirs. This research was conducted by integrating Geographic Information Systems and remote sensing using Sentinel-2 datasets and the Universal Soil Loss Equation (USLE) method to calculate sediment accumulation. The findings indicate …
Suburbanization As A Post-Industrial Essentiality: Revisiting Sweden's Miljonprogrammet,
2025
Liberty University
Suburbanization As A Post-Industrial Essentiality: Revisiting Sweden's Miljonprogrammet, Colin Wood
Swarthmore Undergraduate History Journal
Definitively speaking, suburbanization does not equate to post-industrialism in the same limelight as would urbanization and industrialism. However, anomalous cases, such as the one being discussed in this paper, tangentially interlink on a socioeconomic basis. In 1965, Sweden began construction of the Miljonprogrammet (Million Programme), where over the next ten years, over one million domiciles were built in a suburban setting leading to a mass diaspora of ‘slum living’ Swedish industrial workers. The nation’s renowned welfare state, built on a collaborative system between public and private sectors as well as federal and municipal actors, overlooked housing in its social …
Humboldt Geographic Issue 3,
2025
Cal Poly Humboldt
Humboldt Geographic Issue 3
Humboldt Geographic
This collection of maps showcases the exceptional cartographic work produced by students at Cal Poly Humboldt over the past decade. At the core of the geospatial curriculum, cartography is not just a technical skill but a creative, analytical, and communicative practice that empowers students to visualize data, tell meaningful stories, and engage with the world through spatial thinking. The work featured in this journal represents various styles, formats, and topics, reflecting the rigor and innovation embedded in the department's cartographic training.
Spatial Implications Of Potential Treeline Campfire Restrictions In Selected Usfs-Managed Colorado Wildernesses,
2025
Grand Valley State University
Spatial Implications Of Potential Treeline Campfire Restrictions In Selected Usfs-Managed Colorado Wildernesses, Rebecca Hippensteel
Masters Projects
High-elevation ecosystems in Colorado’s Wilderness areas are ecologically sensitive and particularly vulnerable to campfire impacts, which can damage vegetation, alter soil chemistry, and degrade wilderness character. This study presents a preliminary proof of concept evaluating the spatial implications of banning campfires at or above 11,000 feet—used here as a proxy for treeline—in twelve U.S. Forest Service-managed Wilderness areas. Using 30-meter resolution Digital Elevation Models from the USGS National Map and Earth Explorer, a raster-based analysis in ArcGIS Pro identified and quantified acreage above 11,000 feet. Across the twelve Wilderness areas, 268,601 acres were found to lie above treeline, representing an …
Evaluating Spatiotemporal Vegetation Index Variation To Detect Salt Marsh Dieback On The Georgia Coast,
2025
Georgia Southern University
Evaluating Spatiotemporal Vegetation Index Variation To Detect Salt Marsh Dieback On The Georgia Coast, Emmanuella Bosompemaa Obeng
College of Graduate Studies: Theses & Dissertations
Salt marshes, essential for coastal protection and carbon sequestration, are increasingly vulnerable to dieback events, threatening ecosystem resilience and vital services. Detecting these shifts early is essential for timely intervention. However, few studies have applied Early Warning Signals (EWS) to coastal marsh systems. Most EWS research has focused on lakes, forests, or climate tipping points, with limited application to salt marsh dieback in the southeastern U.S. Site-specific, long-term spatial analyses are also lacking, as prior work often examines short time frames or single disturbance events. This study investigates the spatiotemporal patterns of salt marsh dieback on the Georgia coast from …
Wildlife Distribution Mapping And Analysis In Gorongosa National Park, Mozambique, Using Site And Satellite Imagery Data,
2025
Murray State University
Wildlife Distribution Mapping And Analysis In Gorongosa National Park, Mozambique, Using Site And Satellite Imagery Data, Pinho Joaquim Munhequeira Mr
Murray State Theses and Dissertations
One of Mozambique's most important conservation sites, Gorongosa National Park has seen critical ecological changes over the past several decades resulting from climate variability, habitat loss, and political instability. This research integrates Geographic Information Systems (GIS) and remote sensing to examine the relationship between vegetation dynamics and wildlife population, and distribution. The main goals of this study are to evaluate the spatial distribution of particular wildlife species: buffalo (Syncerus caffer), elephant (Loxodonta africana), hippopotamus (Hippopotamus amphibius), and zebra (Equus quagga), and determine the impact of vegetation density and land cover on their …
Sports Facilities, Trails, And Travel Cost: A Non-Market Valuation Case Study Of Parks In Montana,
2025
The University Of Montana
Sports Facilities, Trails, And Travel Cost: A Non-Market Valuation Case Study Of Parks In Montana, Clemens Walter Wilson
Graduate Student Theses, Dissertations, & Professional Papers
This study applies the travel cost valuation method to urban parks in the State of Montana in an effort to determine whether parks with attributes related to exercise have greater value for recreationalists. By observing real recreation behaviour of urban park visitors through the use of cellphone mobility data, recreational demand for varying parks can be ascertained. To model recreational demand, the random utility model (RUM) and multinomial logit model (MNL) are leveraged to understand choice probabilities of parks, based on the attributes of parks, including sports facilities and trails. This study finds that there are positive and significant relationships …
Assessing High-Speed Rail (Hsr) Policy And Politics In Washington State: Avoiding The Mistakes Of The Past,
2025
Central Washington University
Assessing High-Speed Rail (Hsr) Policy And Politics In Washington State: Avoiding The Mistakes Of The Past, Landen K. Hashimura
All Master's Theses
While international standard high-speed rail (HSR) has yet to be successfully completed in the US, there is a national interest in the topic, as evidenced by recent federal initiatives to research HSR across various corridors. The Cascadia Corridor has been identified as a region with high potential for HSR, leading to an ongoing study in the State of Washington. Given the tumultuous history of American HSR development, the Cascadia HSR initiative needs to avoid the mistakes of the past. Two major contributing factors to this failure to build HSR are uneven political support for HSR and poor policy frameworks. Despite …
Modeling Recreational Risk Factors On The Landscape: A Predictive Gis Analysis Of Recreation Accident Response Near North Bend, Washington.,
2025
Central Washington University
Modeling Recreational Risk Factors On The Landscape: A Predictive Gis Analysis Of Recreation Accident Response Near North Bend, Washington., Naomi S.J. Van Roon
All Master's Theses
Search and Rescue (SAR) teams in Washington respond to approximately 900 incidents annually, many stemming from outdoor recreation near Interstate 90 surrounding North Bend. This study utilized predictive GIS analysis to identify areas of concern within state lands, including Mount Si and Middle Fork Snoqualmie Natural Resource Conservation Areas, Raging River State Forest, and Rattlesnake Mountain Scenic Area. The predictive model was calibrated using SAR responses to hiking-related incidents between March and November from 2020 to 2023, and incorporated an analysis of risk factors influencing recreationalist incident probability. This research then developed a decision support system to aid land managers …
Coupling Remote Sensing And Modelling To Monitor The Spatial Distribution And Trends Of Surface Temperature And Ice Thickness On Sub-Arctic Lakes,
2025
Wilfrid Laurier University
Coupling Remote Sensing And Modelling To Monitor The Spatial Distribution And Trends Of Surface Temperature And Ice Thickness On Sub-Arctic Lakes, Gifty Attiah
Theses and Dissertations (Comprehensive)
Lake surface temperature (LST), lake ice thickness (LIT), and lake ice phenology (LIP) play significant roles in the diverse regional processes of freshwater in cold regions. They offer direct indications of regional weather and climate conditions, and their interactions with the atmosphere impact climate processes. Furthermore, lake ice is valuable to northern communities, such as those in the Northwest Territories (NWT). Ice roads, including the longest ice road in the NWT, spanning over 80 lakes, are constructed during winter to haul goods to and from industrial establishments (e.g., mines) and for travel within and between communities. A significant challenge to …
Performance Of Acoustic Telemetry And Space Use Of Pallid Sturgeon In The Lower Platte River, Nebraska,
2024
University of Nebraska-Lincoln
Performance Of Acoustic Telemetry And Space Use Of Pallid Sturgeon In The Lower Platte River, Nebraska, Christopher F. Pullano
School of Natural Resources: Dissertations, Theses, and Student Research
Pallid Sturgeon (Scaphirhynchus albus) are centenarian, potamodromous, rheophiles that historically occupied the Missouri River and Mississippi River basins. Listed on the U.S. Endangered Species Act in 1990, population declines are attributed to habitat fragmentation and degradation, as well as overharvest, and hybridization. A knowledge gap exists regarding the extent to which tributaries facilitate key life stages for Pallid Sturgeon. This study evaluated the capacity of acoustic telemetry to monitor the movements of Pallid Sturgeon in a shallow, braided tributary to the Missouri River. The specific objectives were to (1) evaluate the environmental variables influencing the performance of acoustic …
Impact Of Weather Systems On Uav Parameters Using Computational Fluid Dynamics,
2024
Department of Atmospheric Sciences, College of Science, Mustansiriyah University, Baghdad, Iraq
Impact Of Weather Systems On Uav Parameters Using Computational Fluid Dynamics, Saif Aljuhaishi, Yaseen K. Al-Timimi, Basim I. Wahab
Karbala International Journal of Modern Science
Since drones cannot fly in any kind of weather, they are not safe for time-sensitive activities. The study examines how the passage of weather systems in Iraq leads to the ban on drone flights, and how these weather conditions impact the aerodynamic forces of the drone. Hourly climate data for the study area were obtained from ECMWF ERA5 and CAMS in NetCDF format for four climate stations (Erbil, Baghdad, Rutbah, and Basrah). A ScanEagle drone was chosen for this study. The Python programming language was used to perform mathematical operations to calculate the ban on drone flights. ArcGIS 10.8 was …
Explainable Artificial Intelligence To Interpret Spatially-Explicit Impacts Of Future Climate Change On Species Distribution,
2024
University of California, Santa Barbara
Explainable Artificial Intelligence To Interpret Spatially-Explicit Impacts Of Future Climate Change On Species Distribution, Lei Song, Amy E. Frazier, Peter Kedron, Diogo S. A. Araujo, Diyang Cui, Brian J. Enquist, Brian Maitner, Cory Merow, Gabriel M. Moulatlet, Efthymios I. Nikolopoulos, Patrick R. Roehrdanz
I-GUIDE Forum
Biodiversity is essential for maintaining ecosystem balance and functionality, providing vital services such as climate regulation. The rapid decline in biodiversity, driven by habitat loss, habitat fragmentation, and climate change, poses significant threats to ecosystems. Climate change, in particular, is fundamentally altering habitats, leading to shifts in species distributions. However, existing research often lacks decomposed contribution analyses, particularly spatially, for a changing individual environmental attributes when modeling species distribution as an aggregate result of all factors and their interactions. Such analyses are crucial for identifying climate refugia and prioritizing conservation efforts. Taking endangered mammal species as an example, this study …
Statistical Downscaling Of Climate Datasets With Deep Generative Model And Bayesian Inference,
2024
University of Colorado Boulder
Statistical Downscaling Of Climate Datasets With Deep Generative Model And Bayesian Inference, Guiye Li, Guofeng Cao
I-GUIDE Forum
Facing the challenges of global climate change, precise and high spatial resolution climate data are crucial and in pressing need for scientific research and analysis. However, most existing datasets are only available with very coarse spatial resolution and demand large-scale resolution enhancement. Meanwhile, climate datasets own much more intricate textures than natural images. Statistical downscaling or super-resolution (SR) with the deep-learning-based generative model might be a promising approach to address these challenges. It is worth noting that a learned Bayesian reconstruction with generative models (L-BRGM) method was proposed recently. The proposed Bayesian deep learning framework employs a single pre-trained generative …
Communicating Uncertainty And Cataloging Bias In Spatial Data Science Education,
2024
University of California, Santa Barbara
Communicating Uncertainty And Cataloging Bias In Spatial Data Science Education, Peter Kedron, Jiahua Chen
I-GUIDE Forum
Uncertainty is an unavoidable part of any spatial analysis, which makes quantifying and communicating uncertainty a requirement of any spatial data science study. However, current curricula leave students understanding the importance of uncertainty and concerned about potential bias, but without an actionable framework to improve their workflows or inferences. We propose a framework rooted in Bloom’s Taxonomy for introducing these concepts to spatial data science students.
