The Development of a Geographic Information System(GIS) Database for Jiuzhaigou National Nature Reserve and Its Application

The objective of this paper is to develop a GIS(Geographic Information System) database for Jiuzhaigou National Nature Reserve(Jiuzhaigou,hereafter) in China and demonstrate its application as a research tool.A cost-effective procedure was developed to compile a variety of geographical and biological data of the study area in terms of popular GIS format such as shape files.These files were further calibrated and validated using field surveys data.The developed GIS database was used to quantify the distributions of the wildlife(amphibians,mammals,and birds) using the distances of the wildlife to the centerline of the bus-tour routes.The Pearson correlation coefficient was used to quantify the correlation in space between pairs of different wildlife using the number of habitats for given space contexts.An ArcObject-based macro was developed to perform the analysis.The results showed the majority of the habitats of wildlife are located in the proximity of the tour-bus routes with an average distance ranging from 564 to 894 m depending on types of wildlife.This indicates a possibility of the disturbance to the wildlife by human activities.The correlation coefficient of the wildlife ranged from 0.36 to 0.64 depending on pairs of wildlife,indicating some correlations in space.However,due to the limited sample size,the statistical significances need to be further investigated.This paper has successfully demonstrated the use of the GIS-based database as a research tool for environmental study.

The Application of Geographic Information System(GIS) to the Study of Chinese History

Historical geographic information system construction echoes the call of academic development in the information era and demonstrates the in-depth advancement of history studies. In recent years, an increasing number of data platforms have been built to facilitate historical information storage, display, management and analysis. In such a context, the geographic information system(GIS) begins to contribute to the study of Chinese history. Its contribution is highlighted in nine areas: historical climate, fluvial landforms, town economies, rural settlements, hydraulic societies, environmental changes, ancient cities, ancient maps and HGIS-enabled research methods. The application of GIS to the study of Chinese history initiates a reform in research methods and at the same time upgrades the philosophy of history studies, facilitating the utilization of a diversity of historical data(documents, ancient maps, remote-sensing images, archaeological information, etc.) for dynamic tracing and multi-factor comprehensive research. At present, restricted by traditional disciplinary boundaries, the construction of HGIS platforms remains slow and insufficient, making it difficult to extensively apply GIS to the study of Chinese history.

The Demographic Impact on Credit Scores＂ Evidence From Statistical Methods and Geographic Information Systems （GIS） Mapping

Average credit scores for people in the United States （US） differ from state to state. Some states have high, and some states have low average credit scores. Since lenders and employers use credit scores to make loan and employment decisions, people living in states where average credit scores are high should experience the benefits of living where credit scores tend to allow more favorable loan and employment decisions. Although credit scores are the direct result of credit histories, credit histories may be impacted by demographic factors. If the demographic factors that impact credit histories are identified, ways to improve credit scores are likely to be discovered and available to people and state government policymakers. This study looks for demographic factors to indirectly explain the average credit scores for people living in each state of the US. The methodology includes statistical analyses and geographic information systems （GIS） mapping. Statistical analyses provide evidence to suggest that state average credit scores are explained by the demographic factors of education, family, income, and health. GIS mapping reveals clusters of states with similar demographics and credit scores.

Bioenergy Crops as a Promising Alternative to Fossil Fuels in Louisiana: A Geographic Information System (GIS) Perspective

Rising greenhouse gas emissions are causing climate change, and the world’s focus has shifted to the need to reduce our reliance on fossil fuels. There has been a rise in the published literature on the utilization of crops for bioenergy production in Louisiana. However, very few scholarly documents have used Geographic Information Systems (GIS) to map the distribution of potential bioenergy crops in Louisiana. This study seeks to fill the void by evaluating the potential of bioenergy crops in Louisiana for energy production using GIS. Given this objective, the agricultural census data for 1999, 2009, 2019, and 2020 obtained from the U.S. Department of Agriculture were used in the analysis. The quantities of various crops produced in the state were loaded into an attribute table and joined to a shapefile using ArcGIS software. The symbology tool’s graduated option was used to create five maps representing each of the bioenergy crops in Louisiana. The findings of the GIS analysis show that some of the parishes, such as Franklin produced the most bushels of corn (13,795,416), Iberia produced the most tons of sugarcane (1,697,980), East Carroll produced the most bushels of soybean (8,237,991), Tensas harvested the most bales of cotton (80,898) and Avoyelles produced the most bushels of sorghum (630,694). The abundance and availability of crops as raw materials for energy production will translate into lower prices in terms of energy use, making bioenergy crops a promising alternative to fossil fuels. In addition, gasoline price data from 1993-2022 was obtained from U.S. Energy Information Administration. A regression model for the average annual gasoline price over the years was constructed. The results show that the average annual gasoline price variation with respect to years is statistically significant (p 0.05). This suggests that gasoline prices will generally rise despite a price drop over the years. The paper concludes by outlining policy recommendations in the form of assessing the availability and viability of other crop types, such as wheat, oats, and rice, for energy production in the state.

Water Runoff Estimation Using Geographical Information System (GIS) for Alrakhmah Basin Valley Northeast of Iraq

The lack of water resources in many regions is the main challenge for the human being and to extended investigations. Water resources controlling and management is essential in the areas depending on the seasonal rainfall. This research aims to estimate the surface water runoff for Basin of Alrakhmah Valley located in the southwestern part of Kirkuk Province in northeastern of Iraq. Analyzing of Spatial data and Digital Elevation Model (DEM) data has been conducted using Geographic Information System (GIS) to estimate the hydrological properties for the watershed valley with 158.5 km2 surface area. The results showed that watershed valley type is from the fifth rank with a longitudinal shape and topography percentage of 0.568. The watershed textures found to be 3.24 and the drain density 1.5 at 3.49 river branching. Finally, the annual estimated surface water retreat according to the morpho-hydro climatic elements found to be 0.01286233 milliard cubic meter.

Using Geographic Information Systems (GIS) for Targeted National Recruitment of Community-Dwelling Caregivers Managing Dementia-Related Behavioral and Psychological Symptoms: A Recruitment Approach for a Randomized Clinical Trial

Over 16 million caregivers of people living with dementia require support in a range of issues, including self-care, disease education, and guidance for how to manage behavioral and psychological symptoms of dementia (BPSD). Non-pharmacological interventions are needed to address these areas, and online applications have been shown to be safe and effective. To ensure the efficacy of such interventions, racially, ethnically, geographically, and socioeconomically diverse participants must be recruited to increase the generalizability of study outcomes. This protocol paper describes a recruitment plan using Geographic Information Systems (GIS) to reach a representative sample of caregivers across the United States for a national Phase III clinical study. Using publicly available census data from the American Community Survey (ACS), combined with location data for local aging resources such as Area Agencies on Aging (AAA), recruitment will be derived from data analysis conducted in ESRI ArcGIS v10.7.1. Datasets including age, gender, income, and education will be assessed nationally at the county and census tract spatial scale in a nine-step process to develop recruitment priority areas containing high concentrations of eligible participants living in the community. Overall, the current protocol will demonstrate the value of GIS in tailoring targeted outreach strategies to recruit community-dwelling populations through local resource institutions. This novel approach may have far-reaching implications in future recruitment initiatives and help to secure racially/ethnically diverse samples.

Development of Large-Scale Land Information System (LIS) by Using Geographic Information System (GIS) and Field Surveying

Cadastral maps are an important component of land administration in most countries. In virtually all developed countries, the needs of computerized land and geographic information systems (LIS/GIS) has given urgent impetus to computerizing cadastral maps and creating digital cadastral data bases (DCDB). This process is creating many institutional, legal, technical and administrative problems. This desire to establish DCDBs is being given increased impetus due to a new range of enabling technologies such as satellite position fixing (GPS), improved spatial data collection techniques such as digital theodolites and “soft copy” photogrammetry, as well as a vast range of new information and communications technological tools, thus contributing to the advancement and keeping up with the great countries. This paper presents the problem of cadastral maps. The hitherto existing cadastre, consisting of paper maps and land registers, is now becoming insufficient. Its shortcomings force developments leading to its improvement. One of the ways is the creation of a Land Information System. A digital cadastral map is the main component of this system. The structure and information content of the map is presented, its differences from analogue maps are shown, and the process of map creation is described. A digital cadastral map can be the basis for additional thematic layers, successively converting it into a complex system for management of administrative units.

Malaria Control Mechanisms for Effective Healthcare Delivery in Ghana: The Use of Geographical Information Systems (GIS)

Malaria is a major health problem facing many tropical countries, including Ghana. The use of modern mechanisms to study environmental factors in malaria occurrence is imperative in malaria control efforts. The aim of this research is to investigate how malaria occurrence is influenced by environmental factors and how Geographical Information Systems (GIS) can be used as a mechanism for improving malaria control in healthcare delivery in Ghana. Environmental factors, elevation, daily temperature and daily rainfall were plotted against prevalence of M and S forms of mosquitoes using ArcGIS 10.1. Prevalence of Anopheles gambiae M was the highest at elevations of 0 m to 200 m and that of S was the highest at elevations between 200 m and 500 m. Prevalence of M was the highest at temperatures between 26.1&degC - 27.6&degC whilst that of S was the highest at temperatures of between 24.5&degC and 26.0&degC. Prevalence of M was the highest at rainfall between 10 mm and 35 mm and S was the highest at rainfall between 26 mm and 36 mm and beyond. M form was positively correlated with temperature and negatively with elevation and humidity. The S form was negatively associated with temperature and positively with elevation and rainfall. GIS models can combine with environmental data to estimate vector prevalence under environmental conditions and therefore its use is recommended in Ghana.

Distribution area demarcation for logistic centers under geographical information system decision support system

Demarcating distribution area of goods is often guided by the rule of thumb by business proprietors. However, this method seems to be unsuitable when the demand points increase to a certain large extent. The present work attempted to convert the problem of distribution area demarcation into a localized problem of warehouseing and networking, and tried to establish district-based planning mode based on location based heuristic (LBH). Two methods were used in this study: 1) the manual method to construct the mathematical model and conduct simulation; 2) the automatic method using TransCAD software of geographical information system (GIS) for simulation. By comparing the effects of the two methods, the research provides theoretical support for business proprietors to demarcate the distribution area rationally with the application of GIS system. The results show that GIS has very good graphics construction function to replace complex text, and the automatic demarcating mode with human-machine interaction provides a good business decision-making support.

Mapping of Soil Properties Using Geographical Information System (GIS): A Case Study of Hassan Usman Katsina Polytechnic

GIS relates and integrates spatial data from various sources, for storage, retrieval, analyses and display. This paper presents the analysis and mapping of Geotechnical data using natural neighbour interpolation tool of GIS. The Campus of Hassan Usman Katsina Polytechnic Nigeria was as the study area, and Arc GIS 10.2.1 was used to perform the analyses. The study used soils samples from ten trial pit distributed within the study area and subjected to various laboratory tests. Index and engineering properties of the samples were determined. Map database developed in a GIS environment and the result of the laboratory tests stored, were analysed and displayed using GIS. The research results show maps of various soil properties. The research result provides estimated data for preliminary designing of engineering infrastructures in the area.

应用GIS模糊层次分析法对森林火灾风险区划——以湖南省宁远县为例

应用ArcGIS的模糊逻辑和层次分析法,对湖南省宁远县的森林火灾风险进行评估和火险区划研究,参与评估的火险因子包括环境、人类活动和地形因子。研究结果表明:温度、降水、海拔和归一化植被指数(NDVI)对研究区域林火风险的影响最为显著;宁远县47.6%的区域被确定为四级及以上火险等级,主要分布于该县中部的大部分地区,该县火险情况严峻;编制的森林火灾风险图预测精度达82.7%。模糊层次分析法在森林火灾风险预测中展现出较好的效果,可作为林火预测和火险制图的重要工具,编制的森林火灾风险图为宁远县的林火管理提供了科学参考依据。

Locating Global System for Mobile Communication(GSM)Base Stations Using Geographic Information System(GIS)

The global system for mobile communication(GSM)is planned to meet the needs of the whole subscribers.The number of subscribers increased as the population increased due to the acceptance of GSM services by the subscribers.Thus,there should be a way to monitor base stations that will meet the increasing demand of subscribers in any area as a population surge will lead to more subscriptions.This will allow GSM network operators to serve their subscribers better and ease network congestion.This work presents a review of mobile evolution from the first generation to the fifth generation.A review of global positioning system(GPS)technology and its applications to geographic information systems(GIS)was done.The coordinates of these base stations were taken using a GPS device.These base station coordinates were then exported to QGIS for the design of the map.Thereafter,the output map was then integrated into the website.The discussions on the results followed and some useful suggestions given will go a long way to help the operators of GSM in Nigeria and in general.If the propositions given are adhered to,it will go a long way to help the operators reduce congestion on their network and thereby increase the satisfaction of the subscribers.

基于GIS的北京市城市用地适宜性评价

随着经济发展和城市规模迅速扩张,城市建设用地资源需求日益增加,对城市用地进行适宜性评价能够有效提高城市用地资源的利用效率。以北京市为研究区,结合北京市的高程、坡度、水系道路等数据集,选取7个评价因子,采用综合层次分析法构建指标体系,使用地理信息系统(GIS)软件的空间分析工具对研究区城市用地适宜性进行综合评价分析。结果表明:最适宜和较适宜建设区占研究区总面积的29.74%;基本适宜建设区占研究区总面积的36.31%;不适宜和最不适宜建设区占研究区总面积的33.95%。空间分布特征上,北京市城市用地建设区适宜性较高的区域位于北京市域中部及东南部。研究结果可为北京市土地利用优化布局及资源可持续利用提供参考,对促进该地区实现宏观经济和社会发展具有重要意义。

Landfill Site Suitability Assessment Using Geographic Information System (GIS) and Analytic Hierarchy Process (AHP) in Butuan City, Philippines

Landfilling is one of the most effective and responsible ways to dispose of municipal solid waste(MSW).Identifying landfill sites,however,is a challenging and complex undertaking because it depends on social,environmental,technical,economic,and legal issues.This study aims to map the optimal sites that were environmentally suitable for locating a landfill site in Butuan City,Philippines.With reference to the policy requirements from DENR Section I,Landfill Site Identification Criteria and Screening Guidelines of National Solid Waste Management Commission,the integration of a Geographic Information System(GIS)model builder and Analytical Hierarchy Process(AHP)has been used in this study to address the aforementioned challenges related to the landfill site suitability analysis.Based on the generated sanitary landfill suitability map,results showed that Barangay Tungao(1131.42967 ha)and Florida(518.48 ha)were able to meet and consider the three(3)main components,namely economic,environmental,and physical criteria,and are highly suit­able as landfill site locations in Butuan City.It is recommended that there will conduct a geotechnical evaluation,involv­ing rigorous geological and hydrogeological assessment employing a combination of site investigation and laboratory techniques.In addition,additional specific social,ecological,climatic,and economic factors need to be considered(i.e.including impact on humans,flora,fauna,soil,water,air,climate,and landscape).

Application of Remote Sensing and Geographic Information System in Land Use and Land Cover Change

The integration and application of remote sensing （RS） and geographic in-formation system （GIS） in the study of the Land Use and Land Cover Change （LUCC） were summarized, as wel as researches on the monitoring dynamic changes in LUCC, driving force and application examples of the integration and the application of RS and GIS in simulation research. The methods and technical ap-proaches of RS and GIS in LUCC research were discussed. Views on the existing problems of the integration and the application of RS and GIS were put forward, and the future developing direction of LUCC technology was forecasted.

Classification Method for Dongting Lake Wetland Based on Geographic Information

[Objective] This study aimed to improve the accuracy of remote sensing classification for Dongting Lake Wetland.[Method] Based on the TM data and ground GIS information of Donting Lake,the decision tree classification method was established through the expert classification knowledge base.The images of Dongting Lake wetland were classified into water area,mudflat,protection forest beach,Carem spp beach,Phragmites beach,Carex beach and other water body according to decision tree layers.[Result] The accuracy of decision tree classification reached 80.29%,which was much higher than the traditional method,and the total Kappa coefficient was 0.883 9,indicating that the data accuracy of this method could fulfill the requirements of actual practice.In addition,the image classification results based on knowledge could solve some classification mistakes.[Conclusion] Compared with the traditional method,the decision tree classification based on rules could classify the images by using various conditions,which reduced the data processing time and improved the classification accuracy.

基于GIS的青岛市绿地景观生态格局与网络构建

定量化研究绿地景观生态格局和网络构建能够为城市绿地系统和国土空间的科学规划提供理论依据与方法支撑。研究基于无线电高空测候(RS)和地理信息系统(GIS)技术,运用总体景观生态格局分析和梯度分析方法,选取12个景观指数,对沿海城市——青岛市的绿地景观生态格局从斑块类型水平和景观水平两方面进行了定量研究。结果表明:斑块类型水平上,区域绿地以大型斑块为主且占优势地位,防护绿地以大中型斑块为主,二者虽空间分布不均匀,但生态效益较好;附属绿地以中小型斑块为主,缺乏大面积绿地建设,景观破碎度高但符合公众游憩需求;公园绿地以小型斑块为主且数量较少,在城区集中分布。景观水平上,城市绿地景观类型较齐全,但整体破碎度高,中部地区景观破碎度高,南部与中北部地区绿地类型多样,景观破碎度高且景观形状较复杂。在此基础上,进而分析了青岛城市绿地景观生态格局存在的问题,提出了“一轴、三核、廊汇成网、节点密布”的城市绿地生态网络优化与构建方案,以提高各类城市绿地连接度水平,发挥绿地生态系统的整体效益。

交叉学科视角下的“人文社会GIS”课程教学探索

人文社会地理信息系统(geographical information system, GIS)源于人文科学、社会科学和地理信息科学等多个学科的交叉融合,属于自然科学与人文社会科学的学科交叉领域.本文依托南京师范大学长期开展地理信息科学与人文社会科学交叉融合的科研和教学成果,系统分析了人文社会GIS的交叉学科特性,提出了人文社会GIS的内涵和知识体系,设计了“人文社会GIS”课程的创新教学模式,形成了有代表性的学科交叉课程教学实践案例,对于开展“新工科”和“新文科”背景下的交叉学科研究和复合型人才培养具有较好的参考价值.

基于GIS的灌区土壤投入品残留污染监测预警系统

为了解决工业发展导致的灌区土壤投入品残留污染问题,给出一种基于地理信息系统(geographic information system,GIS)的土壤污染监测预警系统。该系统结合VOC-PF1型传感器、STM32主控芯片和GSM通信模块,实现了高效的数据采集和通信功能。通过反距离加权(inverse distance weighted,IDW)插值法进行空间分析,并设立预警阈值,实现对灌区土壤投入品残留污染的实时监测和预警。实验结果表明:该系统的监测精度高达98%,监测时长最高为49 s,具有很高的实用性和效率。研究结果不仅为灌区土壤投入品残留污染监测提供了有效手段,也为环境保护和农业可持续发展提供有力支持。

基于GIS实现空间智能及应用研究

GIS是空间智能的基础。利用GIS建立地理信息数据模型,结合空间分析功能对模型进行深度学习和处理实现空间智能,将在国土空间规划实施监测网络建设、城市地下空间体检、智慧化监管和实景三维中国建设等许多领域提供有力支持。