Population density functions have long been used to describe the spatial structure of regional population distributions. Several studies have been conducted to examine the population distribution in Shandong Province, China, but few have applied regional density functions to the analysis. Therefore, based on the 2000, 2010, and 2020 population censuses, this study used monocentric and polycentric regional density functions to study the characteristics of population agglomeration and diffusion in Shandong. This is followed by an in-depth discussion based on population growth rate data and hot- and cold-spot analyses. The results showed that the Shandong Province population was spatially unevenly distributed. Population growth rates were higher in urban centers and counties, with more significant changes in population size in the eastern coastal areas than in the inland areas. As verified in this study, the logarithmic form of the single-center regional density function R2 was greater than 0.8, which was in line with the population spatial structure of Shandong Province. During the study period, the estimated population density of the regional center and the absolute value of the regional population density gradient both increased, indicating a clear and increasing trend of centripetal agglomeration of regional centers over the study period. Overall, the R2 value of the multicenter region density function was higher than that of the single-center region density function. The polycentric regional density function showed that the population density gradient of some centers had a downward trend, which reflected the spatial development trend of outward diffusion in these centers. Meanwhile, the variation in the estimated population density and the population density gradient exhibited differences in the central population distribution patterns at different levels.
{"title":"Spatial Agglomeration and Diffusion of Population Based on a Regional Density Function Approach: A Case Study of Shandong Province in China","authors":"Xiaohan Zhao, Yanbin Chen","doi":"10.30564/jgr.v6i3.5826","DOIUrl":"https://doi.org/10.30564/jgr.v6i3.5826","url":null,"abstract":"Population density functions have long been used to describe the spatial structure of regional population distributions. Several studies have been conducted to examine the population distribution in Shandong Province, China, but few have applied regional density functions to the analysis. Therefore, based on the 2000, 2010, and 2020 population censuses, this study used monocentric and polycentric regional density functions to study the characteristics of population agglomeration and diffusion in Shandong. This is followed by an in-depth discussion based on population growth rate data and hot- and cold-spot analyses. The results showed that the Shandong Province population was spatially unevenly distributed. Population growth rates were higher in urban centers and counties, with more significant changes in population size in the eastern coastal areas than in the inland areas. As verified in this study, the logarithmic form of the single-center regional density function R2 was greater than 0.8, which was in line with the population spatial structure of Shandong Province. During the study period, the estimated population density of the regional center and the absolute value of the regional population density gradient both increased, indicating a clear and increasing trend of centripetal agglomeration of regional centers over the study period. Overall, the R2 value of the multicenter region density function was higher than that of the single-center region density function. The polycentric regional density function showed that the population density gradient of some centers had a downward trend, which reflected the spatial development trend of outward diffusion in these centers. Meanwhile, the variation in the estimated population density and the population density gradient exhibited differences in the central population distribution patterns at different levels.","PeriodicalId":165093,"journal":{"name":"Journal of Geographical Research","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125579465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
David Sesugh Aule, Mamman Saba Jibril, Ali Hussain Idris
This research studied the spatiotemporal changes in land use (LU)/land cover (LC) in Dambatta local government area, with a view to identifying the effect arising from the observable changes in land use patterns. The imageries used in the study were obtained from the National Space Research and Development Agency (NARSDA), Abuja. Spatial analytical techniques and descriptive statistical techniques were employed to analyze the data. The results showed 66.8% reduction in agricultural lands, 45.5% reduction in vegetation cover, 223.2% increase in built-up areas, 269.1% increase in bare lands and 70% increase in water bodies within the 20 years. Spatio-temporal analysis of the three imageries revealed that agricultural lands were largely been taken over by urbanization while vegetation had rapidly given way to bare lands within the 20 years. It was observed that these changes resulted from anthropogenic activities, environmental factors and climate change. These result in the loss of farmlands, inadequate food supply, unemployment, inadequate industrial raw materials, reduction in revenue generated, forest depletion, desertification, wildlife extinction and temperature increase. While it is recommended that reforestation, land reclamation and irrigation agriculture should be promoted in the area, it is also suggested that further research should focus on the impact of climate change on land cover change in the area.
{"title":"Spatiotemporal Analysis of Land Use Land Cover Mapping and Change Detection in Dambatta Local Government Area","authors":"David Sesugh Aule, Mamman Saba Jibril, Ali Hussain Idris","doi":"10.30564/jgr.v6i3.5707","DOIUrl":"https://doi.org/10.30564/jgr.v6i3.5707","url":null,"abstract":"This research studied the spatiotemporal changes in land use (LU)/land cover (LC) in Dambatta local government area, with a view to identifying the effect arising from the observable changes in land use patterns. The imageries used in the study were obtained from the National Space Research and Development Agency (NARSDA), Abuja. Spatial analytical techniques and descriptive statistical techniques were employed to analyze the data. The results showed 66.8% reduction in agricultural lands, 45.5% reduction in vegetation cover, 223.2% increase in built-up areas, 269.1% increase in bare lands and 70% increase in water bodies within the 20 years. Spatio-temporal analysis of the three imageries revealed that agricultural lands were largely been taken over by urbanization while vegetation had rapidly given way to bare lands within the 20 years. It was observed that these changes resulted from anthropogenic activities, environmental factors and climate change. These result in the loss of farmlands, inadequate food supply, unemployment, inadequate industrial raw materials, reduction in revenue generated, forest depletion, desertification, wildlife extinction and temperature increase. While it is recommended that reforestation, land reclamation and irrigation agriculture should be promoted in the area, it is also suggested that further research should focus on the impact of climate change on land cover change in the area.","PeriodicalId":165093,"journal":{"name":"Journal of Geographical Research","volume":"29 22","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114028023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As humanity has been polluting the atmosphere with greenhouse gases, the planet is getting warmed up which is triggering the frequency and the intensity of extreme events like heat waves, dry conditions, wildfires, cyclones, tornadoes, lightning, and massive flooding all over the planet Earth. There is considerable evidence that the concentration of greenhouse gases, especially that of CO2 has steadily increased in the atmosphere as a result of the indiscriminate use of fossil fuels around the world particularly during the last 70 years. The glaciers in the high mountain and polar regions are diminishing fast, sea levels are rising, and food production is being affected severely in certain parts of the world. In fact, the changing climate has currently become one of the major threats to the survival of civilization. The world scientific communities are warning of a climate emergency and requesting the decision makers to promptly respond and act to sustain life on planet Earth. To deliver net zero emissions by the year 2050, the whole world must phase out the technologies such as coal-powered thermal plants and diesel/petrol/gasoline-powered vehicles which release abundant amounts of CO2 and other greenhouse gases into the atmosphere and invest in the development of clean energies such as hydel, wind, solar, space-solar, and nuclear energies. This transition to a low carbon economy with the help of these technologies together with other technologies such as hydrogen fuel, fuel cells, electric vehicles, and massive plantations is expected to take our planet Earth to a safe zone in the coming 20-30 years.
{"title":"Combating Climate Change and Global Warming for a Sustainable Living in Harmony with Nature","authors":"V. Balaram","doi":"10.30564/jgr.v6i3.5706","DOIUrl":"https://doi.org/10.30564/jgr.v6i3.5706","url":null,"abstract":"As humanity has been polluting the atmosphere with greenhouse gases, the planet is getting warmed up which is triggering the frequency and the intensity of extreme events like heat waves, dry conditions, wildfires, cyclones, tornadoes, lightning, and massive flooding all over the planet Earth. There is considerable evidence that the concentration of greenhouse gases, especially that of CO2 has steadily increased in the atmosphere as a result of the indiscriminate use of fossil fuels around the world particularly during the last 70 years. The glaciers in the high mountain and polar regions are diminishing fast, sea levels are rising, and food production is being affected severely in certain parts of the world. In fact, the changing climate has currently become one of the major threats to the survival of civilization. The world scientific communities are warning of a climate emergency and requesting the decision makers to promptly respond and act to sustain life on planet Earth. To deliver net zero emissions by the year 2050, the whole world must phase out the technologies such as coal-powered thermal plants and diesel/petrol/gasoline-powered vehicles which release abundant amounts of CO2 and other greenhouse gases into the atmosphere and invest in the development of clean energies such as hydel, wind, solar, space-solar, and nuclear energies. This transition to a low carbon economy with the help of these technologies together with other technologies such as hydrogen fuel, fuel cells, electric vehicles, and massive plantations is expected to take our planet Earth to a safe zone in the coming 20-30 years.","PeriodicalId":165093,"journal":{"name":"Journal of Geographical Research","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126936735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We are going through an era of rapid change. In the past three hundred years, with the development of the industrial revolution, social structure and urbanization have allowed geography to play a unique perspective in studying human-land relations, depicting how humans constantly adapt to environmental changes, forming the focus of geographical research at different times. When people face various problems, such as global resource crises, environmental pollution, and urban development, they find it difficult for sub-disciplines to solve problems independently. Therefore, how to promote sustainable development has become a core topic of concern for geographers, and the unity and comprehensiveness of geography have once again attracted people’s attention. In the current development context, it becomes the core topic that how to meet human needs and sustainable development of the natural environment. That is, strengthening people-oriented geographical research and exploring the harmonious coexistence between humans and nature has become an important direction of geography research. The Earth’s environment is complex and ever-changing, and the ability of humans to perceive and adapt to the surroundings requires enhanced research. That is to say, researchers not only need to study the complex natural appearance, structure, and formation process of the Earth itself, but also pay attention to human needs and environmental perceptions. In addition to being interested in natural geography, people have gradually begun to pay attention to their surrounding environment, landscape, and space, such as the adaptation of human behavior to the environment, human activities, and landscape changes. Modern geography is a revolution in modern science and technology that continues to mature. Not only the rise of scientific methodologies such as information theory, system theory and cybernetics, but also the emergence of computer systems, remote
{"title":"Strengthening People-oriented Geographical Research in the New Era","authors":"Kaiyong Wang","doi":"10.30564/jgr.v6i2.5775","DOIUrl":"https://doi.org/10.30564/jgr.v6i2.5775","url":null,"abstract":"We are going through an era of rapid change. In the past three hundred years, with the development of the industrial revolution, social structure and urbanization have allowed geography to play a unique perspective in studying human-land relations, depicting how humans constantly adapt to environmental changes, forming the focus of geographical research at different times. When people face various problems, such as global resource crises, environmental pollution, and urban development, they find it difficult for sub-disciplines to solve problems independently. Therefore, how to promote sustainable development has become a core topic of concern for geographers, and the unity and comprehensiveness of geography have once again attracted people’s attention. In the current development context, it becomes the core topic that how to meet human needs and sustainable development of the natural environment. That is, strengthening people-oriented geographical research and exploring the harmonious coexistence between humans and nature has become an important direction of geography research. The Earth’s environment is complex and ever-changing, and the ability of humans to perceive and adapt to the surroundings requires enhanced research. That is to say, researchers not only need to study the complex natural appearance, structure, and formation process of the Earth itself, but also pay attention to human needs and environmental perceptions. In addition to being interested in natural geography, people have gradually begun to pay attention to their surrounding environment, landscape, and space, such as the adaptation of human behavior to the environment, human activities, and landscape changes. Modern geography is a revolution in modern science and technology that continues to mature. Not only the rise of scientific methodologies such as information theory, system theory and cybernetics, but also the emergence of computer systems, remote","PeriodicalId":165093,"journal":{"name":"Journal of Geographical Research","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121527890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Residential environmental quality (REQ) affects human health and quality of life (QoL). Therefore, this study as sessed residents’ perception of the REQ of the Yenagoa metropolis. Data for the study were sourced from the 400 administered questionnaires, which required respondents to rate their REQ based on seven selected indicators (air quality, drinking water quality, housing location, sanitation, waste management, housing accessibility and noise pollution). The respondents were sampled using the multistage sampling technique. The data were analyzed using frequency, percent age, t-test, ANOVA and REQ model. The findings show that the overall calculated REQ of Yenagoa was classified as “good quality". The best-rated indicator was drinking water quality, while the least-rated was noise pollution. Ratings based on respondents' sex, income and educational status recorded similar results. Also, the respondents' perception of the REQ across the four zones was similar as the calculated ratings of all the zones fell under the "good quality" classification. Furthermore, the hypotheses tested revealed that there were no significant differences in the perception of the REQ by sex and income status, while significant variation exists by education status. Despite the general "good quality" rating, there is still room for improvement, especially in the areas of noise pollution, sanitation and housing location, which received relatively low ratings.
{"title":"Perception of the Residential Environmental Quality of Yenagoa Metropolis, Nigeria","authors":"O. Ohwo, D. Ejemeyovwi","doi":"10.30564/jgr.v6i2.5658","DOIUrl":"https://doi.org/10.30564/jgr.v6i2.5658","url":null,"abstract":"Residential environmental quality (REQ) affects human health and quality of life (QoL). Therefore, this study as sessed residents’ perception of the REQ of the Yenagoa metropolis. Data for the study were sourced from the 400 administered questionnaires, which required respondents to rate their REQ based on seven selected indicators (air quality, drinking water quality, housing location, sanitation, waste management, housing accessibility and noise pollution). The respondents were sampled using the multistage sampling technique. The data were analyzed using frequency, percent age, t-test, ANOVA and REQ model. The findings show that the overall calculated REQ of Yenagoa was classified as “good quality\". The best-rated indicator was drinking water quality, while the least-rated was noise pollution. Ratings based on respondents' sex, income and educational status recorded similar results. Also, the respondents' perception of the REQ across the four zones was similar as the calculated ratings of all the zones fell under the \"good quality\" classification. Furthermore, the hypotheses tested revealed that there were no significant differences in the perception of the REQ by sex and income status, while significant variation exists by education status. Despite the general \"good quality\" rating, there is still room for improvement, especially in the areas of noise pollution, sanitation and housing location, which received relatively low ratings.","PeriodicalId":165093,"journal":{"name":"Journal of Geographical Research","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128192933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Coastline changes were analyzed considering the land cover types and the analysis of the causes that have determined these changes during the past decades. Through the overlapping of aerial photographs and GIS analysis, the results showed that the land surface increased with respect to the previous stage, gaining terrain to the sea, but this increment was caused by anthropogenic processes. In fact, without human pressure, the land surface beside the coastal line would have decreased, especially on the sandy beaches and coastal dunes. Therefore, the beaches are one of the most vulnerable ecosystems and geomorphological systems due to erosion and lack of sediment supply associated with the modified river courses (i.e. by the construction of reservoirs, concrete channeling, etc.), the inner land use changes, and the effects of global warming on the sea level. Climate change studies predict specific increases in the sea level along the coast. The aim of this work is to know if anthropic activity can reverse the effects of sea level rise and coastal erosion. In fact, it has been done for decades with measures aimed to correct impacts and favour economic activity (i.e. maintaining tourism resources) and not from the environmental issues
{"title":"Changes in Mediterranean Coastline According to the Coastal Type and Land Cover under Climate Change: The Case of South-east Spain","authors":"Pedro Marcet Llorens, J. Navarro-Pedreño","doi":"10.30564/jgr.v6i2.5665","DOIUrl":"https://doi.org/10.30564/jgr.v6i2.5665","url":null,"abstract":"Coastline changes were analyzed considering the land cover types and the analysis of the causes that have determined these changes during the past decades. Through the overlapping of aerial photographs and GIS analysis, the results showed that the land surface increased with respect to the previous stage, gaining terrain to the sea, but this increment was caused by anthropogenic processes. In fact, without human pressure, the land surface beside the coastal line would have decreased, especially on the sandy beaches and coastal dunes. Therefore, the beaches are one of the most vulnerable ecosystems and geomorphological systems due to erosion and lack of sediment supply associated with the modified river courses (i.e. by the construction of reservoirs, concrete channeling, etc.), the inner land use changes, and the effects of global warming on the sea level. Climate change studies predict specific increases in the sea level along the coast. The aim of this work is to know if anthropic activity can reverse the effects of sea level rise and coastal erosion. In fact, it has been done for decades with measures aimed to correct impacts and favour economic activity (i.e. maintaining tourism resources) and not from the environmental issues","PeriodicalId":165093,"journal":{"name":"Journal of Geographical Research","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128038098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Numerous emerging development areas worldwide are receiving attention; however, current research on land use change simulation primarily concentrates on cities, urban clusters, or larger scales. Moreover, there is a limited focus on understanding the impact of regional connectivity with surrounding cities and policy factors on land use change in these new areas. In this context, the present study utilizes a cellular automata (CA) model to investigate land use changes in the case of Nansha New District in Guangzhou, China. Three scenarios are examined, emphasizing conventional locational factors, policy considerations, and the influence of regional connectivity with surrounding cities. The results reveal several key findings: (1) Between 2015 and 2021, Nansha New District experienced significant land use changes, with the most notable shifts observed in cultivated land, water area, and construction land. (2) The comprehensive scenario exhibited the highest simulation accuracy, indicating that Nansha New District, as an emerging area, is notably influenced by policy factors and regional connectivity with surrounding cities. (3) Predictions for land use changes in Nansha by 2030, based on the scenario with the highest level of simulation accuracy, suggest an increase in the proportion of cultivated and forest land areas, alongside a decrease in the proportion of construction land and water area. This study contributes valuable insights to relevant studies and policymakers alike.
{"title":"Considering Regional Connectivity and Policy Factors in the Simulation of Land Use Change in New Areas: A Case Study of Nansha New District, China","authors":"Zehua Zheng, S. Xian","doi":"10.30564/jgr.v6i3.5814","DOIUrl":"https://doi.org/10.30564/jgr.v6i3.5814","url":null,"abstract":"Numerous emerging development areas worldwide are receiving attention; however, current research on land use change simulation primarily concentrates on cities, urban clusters, or larger scales. Moreover, there is a limited focus on understanding the impact of regional connectivity with surrounding cities and policy factors on land use change in these new areas. In this context, the present study utilizes a cellular automata (CA) model to investigate land use changes in the case of Nansha New District in Guangzhou, China. Three scenarios are examined, emphasizing conventional locational factors, policy considerations, and the influence of regional connectivity with surrounding cities. The results reveal several key findings: (1) Between 2015 and 2021, Nansha New District experienced significant land use changes, with the most notable shifts observed in cultivated land, water area, and construction land. (2) The comprehensive scenario exhibited the highest simulation accuracy, indicating that Nansha New District, as an emerging area, is notably influenced by policy factors and regional connectivity with surrounding cities. (3) Predictions for land use changes in Nansha by 2030, based on the scenario with the highest level of simulation accuracy, suggest an increase in the proportion of cultivated and forest land areas, alongside a decrease in the proportion of construction land and water area. This study contributes valuable insights to relevant studies and policymakers alike.","PeriodicalId":165093,"journal":{"name":"Journal of Geographical Research","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125906975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To solve the problems of rural revitalization performance research, a quantitative model of non-oriented range wide EBM (Epsilon-Based Measure)-GML (Global-Malmquist) based on VRS (Variable Returns to Scale) conditions including non-desired outputs is constructed. A comprehensive spatio-temporal heterogeneity research index system of rural revitalization performance is also constructed. Taking the typical rural in Chifeng City as an example, the panel data from 2016-2020 are selected for empirical analysis, the conclusions and countermeasures are suggested as follows: 1) In general, the rural revitalization performance of Chifeng City increases significantly during the five-year period, with significant spatio-temporal heterogeneity. The overall analysis shows that the overall performance value of rural revitalization in Chifeng City is 0.683 from 2016 to 2020. The highest performance value is 1 and the lowest performance value is 0.389. The performance growth rate increases year by year, with an average annual growth rate of 4.46%. 2) From 2016 to 2020, the GML index of rural revitalization performance in Chifeng City is 1.174, show ing an increasing trend. Based on the range of change of GML index, Chifeng City can be classified into three types: Continuous improvement, fluctuating improvement and fluctuating decline. 3) Niujiayingzi, Guandongche, Zhaidamu, and Qiangangtai rural have the highest degree of technological progress.
{"title":"Spatio-temporal Heterogeneity in the Performance of Rural Revitalization in Chifeng City of China: Based on a Range-wide EBM-GML Model","authors":"Jiajing Li, Jianing Li, Pei Zhang","doi":"10.30564/jgr.v6i2.5524","DOIUrl":"https://doi.org/10.30564/jgr.v6i2.5524","url":null,"abstract":"To solve the problems of rural revitalization performance research, a quantitative model of non-oriented range wide EBM (Epsilon-Based Measure)-GML (Global-Malmquist) based on VRS (Variable Returns to Scale) conditions including non-desired outputs is constructed. A comprehensive spatio-temporal heterogeneity research index system of rural revitalization performance is also constructed. Taking the typical rural in Chifeng City as an example, the panel data from 2016-2020 are selected for empirical analysis, the conclusions and countermeasures are suggested as follows: 1) In general, the rural revitalization performance of Chifeng City increases significantly during the five-year period, with significant spatio-temporal heterogeneity. The overall analysis shows that the overall performance value of rural revitalization in Chifeng City is 0.683 from 2016 to 2020. The highest performance value is 1 and the lowest performance value is 0.389. The performance growth rate increases year by year, with an average annual growth rate of 4.46%. 2) From 2016 to 2020, the GML index of rural revitalization performance in Chifeng City is 1.174, show ing an increasing trend. Based on the range of change of GML index, Chifeng City can be classified into three types: Continuous improvement, fluctuating improvement and fluctuating decline. 3) Niujiayingzi, Guandongche, Zhaidamu, and Qiangangtai rural have the highest degree of technological progress.","PeriodicalId":165093,"journal":{"name":"Journal of Geographical Research","volume":"2011 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133151420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Through the Latour concept of philosophy of science of laboratory life, the life course of a (geo) ethnographer researcher is analyzed, in order to establish the emotional or more personal dimensions that do not usually appear in research papers, but that have notable relevance in qualitative research. The text is structured in three large parts: A conceptual vision of the new experimental geography; the experimental geo-ethnography in old social, new social and place scenarios; and finally, the most personal and emotional dimension of the research. The first part establishes the geo-ethnographic experimental context and the assumptions in fieldwork, in addition to the geo-ethnographic reconciliation process. In the second part, the main qualitative research problems related to mobility, resistance and dynamics in place are established. Finally, in the third part the research perceptions, the personal experiences, and the emotional dimension of the research in remote rural areas are established. The laboratory life of a researcher, allows one to establish scalar conclusions and rigor in qualitative research.
{"title":"Laboratory Life: Twenty Years of Experimental Research with Locals and New Comers in Remote Rural Areas","authors":"A. Paniagua","doi":"10.30564/jgr.v6i2.5587","DOIUrl":"https://doi.org/10.30564/jgr.v6i2.5587","url":null,"abstract":"Through the Latour concept of philosophy of science of laboratory life, the life course of a (geo) ethnographer researcher is analyzed, in order to establish the emotional or more personal dimensions that do not usually appear in research papers, but that have notable relevance in qualitative research. The text is structured in three large parts: A conceptual vision of the new experimental geography; the experimental geo-ethnography in old social, new social and place scenarios; and finally, the most personal and emotional dimension of the research. The first part establishes the geo-ethnographic experimental context and the assumptions in fieldwork, in addition to the geo-ethnographic reconciliation process. In the second part, the main qualitative research problems related to mobility, resistance and dynamics in place are established. Finally, in the third part the research perceptions, the personal experiences, and the emotional dimension of the research in remote rural areas are established. The laboratory life of a researcher, allows one to establish scalar conclusions and rigor in qualitative research.","PeriodicalId":165093,"journal":{"name":"Journal of Geographical Research","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127150024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The study evaluated the environmental effects of an oil spill in Joinkrama 4 and Akimima Ahoada West LGA, Rivers State, Nigeria, using various vegetation indices. Location data for the spill were obtained from the Nigeria Oil Spill Detection and Response Agency, and Landsat imagery was acquired from the United States Geological Survey. Three soil samples were collected from the affected area, and their analysis included measuring total petroleum hydrocarbons (TPH), total hydrocarbons (THC), and polycyclic aromatic hydrocarbons (PAH). The obtained data were processed with ArcGIS software, utilizing different vegetation indices such as the Normalized Difference Vegetation Index (NDVI), Atmospheric Resistant Vegetation Index (ARVI), Soil Adjusted Vegetation Index (SAVI), Green Short Wave Infrared (GSWIR), and Green Near Infrared (GNIR). Statistical analysis was performed using SPSS and Microsoft Excel. The results consistently indicated a negative impact on the environment resulting from the oil spill. A comparison of spectral reflectance values between the oil spill site and the non-oil spill site showed lower values at the oil spill site across all vegetation indices (NDVI 0.0665-0.2622, ARVI –0.0495-0.1268, SAVI 0.0333-0.1311, GSWIR –0.183-0.0517, GNIR –0.0104-–0.1980), indicating damage to vegetation. Additionally, the study examined the correlation between vegetation indices and environmental parameters associated with the oil spill, revealing significant relationships with TPH, THC, and PAH. A t-test with a significance level of p < 0.05 indicated significantly higher vegetation index values at the non-oil spill site compared to the oil spill site, suggesting a potential disparity in vegetation health between the two areas. Hence, this study emphasizes the harmful effect of oil spills on vegetation and highlights the importance of utilizing vegetation indices and spectral reflectance analysis to detect and monitor the impact of oil spills on vegetation.
{"title":"Application of Vegetation Indices for Detection and Monitoring Oil Spills in Ahoada West Local Government Area of Rivers State, Nigeria","authors":"Jonathan Lisa Erebi, Egirani E. Davidson","doi":"10.30564/jgr.v6i3.5817","DOIUrl":"https://doi.org/10.30564/jgr.v6i3.5817","url":null,"abstract":"The study evaluated the environmental effects of an oil spill in Joinkrama 4 and Akimima Ahoada West LGA, Rivers State, Nigeria, using various vegetation indices. Location data for the spill were obtained from the Nigeria Oil Spill Detection and Response Agency, and Landsat imagery was acquired from the United States Geological Survey. Three soil samples were collected from the affected area, and their analysis included measuring total petroleum hydrocarbons (TPH), total hydrocarbons (THC), and polycyclic aromatic hydrocarbons (PAH). The obtained data were processed with ArcGIS software, utilizing different vegetation indices such as the Normalized Difference Vegetation Index (NDVI), Atmospheric Resistant Vegetation Index (ARVI), Soil Adjusted Vegetation Index (SAVI), Green Short Wave Infrared (GSWIR), and Green Near Infrared (GNIR). Statistical analysis was performed using SPSS and Microsoft Excel. The results consistently indicated a negative impact on the environment resulting from the oil spill. A comparison of spectral reflectance values between the oil spill site and the non-oil spill site showed lower values at the oil spill site across all vegetation indices (NDVI 0.0665-0.2622, ARVI –0.0495-0.1268, SAVI 0.0333-0.1311, GSWIR –0.183-0.0517, GNIR –0.0104-–0.1980), indicating damage to vegetation. Additionally, the study examined the correlation between vegetation indices and environmental parameters associated with the oil spill, revealing significant relationships with TPH, THC, and PAH. A t-test with a significance level of p < 0.05 indicated significantly higher vegetation index values at the non-oil spill site compared to the oil spill site, suggesting a potential disparity in vegetation health between the two areas. Hence, this study emphasizes the harmful effect of oil spills on vegetation and highlights the importance of utilizing vegetation indices and spectral reflectance analysis to detect and monitor the impact of oil spills on vegetation.","PeriodicalId":165093,"journal":{"name":"Journal of Geographical Research","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128569968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：