Journal of Environmental Management, Год журнала: 2024, Номер 371, С. 123064 - 123064
Опубликована: Окт. 31, 2024
Язык: Английский
Journal of Environmental Management, Год журнала: 2024, Номер 371, С. 123064 - 123064
Опубликована: Окт. 31, 2024
Язык: Английский
Transactions in GIS, Год журнала: 2025, Номер 29(1)
Опубликована: Фев. 1, 2025
ABSTRACT Illegal land occupation is a pervasive challenge in South Africa, particularly urban landscapes such as Cape Town. Despite numerous studies investigating its causes, spatial distribution, and impacts, there scarcity of research focused on predicting occurrence. This study addresses this gap by developing machine learning model to identify areas susceptible illegal invasion within the Town Metropole. A random forest (RF) regression was built utilizing samples prevalence pseudoabsence. total 1070 were collected (535 points per class), with 70% used for training 30% validation. The RF demonstrated accurate predictive performance an R 2 0.809. study's findings indicate that bordering existing informal settlements are most at risk future occupation. developed can be valuable tool planners policymakers more effective strategies prevent manage
Язык: Английский
Процитировано
0Sustainability, Год журнала: 2025, Номер 17(7), С. 2902 - 2902
Опубликована: Март 25, 2025
Under the framework of Rural Revitalization Strategy, optimizing layout rural settlements in mountainous areas and guiding their sustainable development must be based on a deep understanding evolution characteristics suitability evaluations. This study focuses Lixian County, located southwestern part China, Sichuan Province, as research area employs methods such average nearest neighbor index, kernel density analysis, landscape pattern index to analyze spatiotemporal 2000, 2010, 2020. Additionally, Maxent model, ecological niche theory, is applied evaluate settlements. The results reveal following: (1) County exhibit spatial distribution characterized by “sparser west, denser east, belt-like pattern”, with clustered trend. number settlement patches increased, becoming more centralized, shapes complex, connectivity between improving. (2) highly suitable land for has decreased annually, over 85% classified unsuitable layout. Suitability transitions mostly occur adjacent levels, it difficult become suitable. (3) In earlier years, was significantly influenced distance cultivated land, slope, geological hazard sites. By 2020, however, roads had second most important environmental factor, following land. Natural factors, particularly topographic features elevation were found exert greater influence than socioeconomic factors evaluating County. These findings provide scientific foundation layouts regions, offering valuable insights into transformation not only upper Minjiang River but also reference other similar regions.
Язык: Английский
Процитировано
0Forests, Год журнала: 2023, Номер 14(5), С. 1031 - 1031
Опубликована: Май 17, 2023
Conservation areas are essential for preserving green spaces and biological diversity. Although previous studies have demonstrated that spatial optimization techniques effective balancing the relationship between ecological importance pattern during conservation practices, design of corridors still requires an efficient, intelligent, flexible workflow. In addition, functional connectivity information is usually unavailable or very difficult to obtain. To alleviate these problems, this paper has developed a new optimization-based model combines morphological analysis (MSPA) with assessment. The consideration MSPA can guarantee enough in plan, while regions higher be discovered through This method been applied planning highly city. Several experiments indicated our proposed could achieve much better performance than conventional models terms pattern. Therefore, expected assist decision processes regulation fragmented urban ecosystems. Furthermore, it management many other aspects because above-mentioned research gaps not unique only Asian less-developed countries.
Язык: Английский
Процитировано
8Sustainability, Год журнала: 2023, Номер 15(12), С. 9635 - 9635
Опубликована: Июнь 15, 2023
Research on the climatic adaptation of apricot kernels (Prunus armeniaca L.) has significant meaning for optimizing their cultivation and utilizing resources effectively. This research utilizes geographical distribution data, environmental factors, soil altitude data kernel in China. By employing maximum entropy model (MaxEnt) geographic information system (ArcGIS), we identify key factors influencing China suitable areas cultivation. Our findings reveal that annual precipitation, frequency frost days April, altitude, pH, effective water content are primary impacting We classify planting suitability zones into four categories. The characterized by precipitation ranging from 330.54 mm to 616.42 mm, day 2.68 19.15 between 84.22 m 831.81 m, pH values 7.5 8.6, 1.16 3.88 deemed most growing kernels. correspond main reality. Given limited existing cultivation, this study provides a scientific foundation promoting
Язык: Английский
Процитировано
8Land, Год журнала: 2023, Номер 12(7), С. 1373 - 1373
Опубликована: Июль 9, 2023
Ecosystem cultural services (CESs) are crucial for rural revitalization and sustainable development. As research on monitoring mapping CESs continues to increase, there is a relative lack of perspectives that effectively combine spatial modeling techniques with the local context in areas. Rural areas China face challenges such as encroachment ecological service spaces displacement relocation their own characteristics during urbanization process. It enhance our understanding relationship between CES characterization locality. This paper established framework quantitative optimization We selected Ecological Green Integrated Development Demonstration Zone (EGIDZ) Yangtze River Delta subject, considering its representativeness Jiangnan Water Network Area integrated development across regions. The Maxent model was utilized integrate environmental variables locations services, facilitating evaluation CESs, well determining influence each variable. Additionally, K-means clustering employed analyze combination patterns. results indicated significant variations mean values distribution within category. natural environment, distance, human activities factors all exhibited effects shaping CESs. Furthermore, clusters were classified into three categories: CES-developed cluster, CES-developing CES-potential accounting 9.34%, 49.23%, 41.44%, respectively. Based these comprehensive findings, we provided insights optimizing
Язык: Английский
Процитировано
8Land, Год журнала: 2022, Номер 12(1), С. 83 - 83
Опубликована: Дек. 27, 2022
In a digitalized era and with the rapid growth of computational skills advancements, artificial intelligence Machine Learning uses in various applications are gaining rising interest from scholars practitioners. As fast-growing field Artificial Intelligence, Intelligence deals smart designs, data mining management for complex problem-solving based on experimental urban (land use cover, configurations built environment architectural design, etc.), but few explorations relevant studies. this work, comprehensive in-depth review is presented to discuss future opportunities constraints meeting next planning portfolio against multiple challenges environments line progress. Bringing together theoretical views practical analyses cases examples, work unveils huge potential, also potential barriers complexity strategies.
Язык: Английский
Процитировано
11Remote Sensing, Год журнала: 2023, Номер 15(19), С. 4685 - 4685
Опубликована: Сен. 25, 2023
Ecotourism and agricultural development have been proven to synergistic effects, although few studies employed a spatial planning approach incorporate tourism growth into crop cultivation planning. This study constructed theoretical framework of environmental suitability—farmland accessibility—tourist’s landscape preferences for link regional agriculture ecotourism development. The rapeseed in Qinghai Province was chosen as case study. main research methods include an suitability analysis based on remote sensing Maxent modeling, farmland accessibility GIS platform, preference questionnaire survey tourists. According the survey’s findings, almost 80% tourists thought flowers enhanced beauty natural landscapes. demonstrated enormous potential fields fostering ecotourism. Based factors, optimum region covered 5.38% area, or roughly 6327 km2. comprehensive zone, which encompassed both suitability, equal 12.63% area’s farming around 929 study’s can integrate development, with substantial implications achieving coordinated economic, social,
Язык: Английский
Процитировано
6Agronomy, Год журнала: 2023, Номер 13(10), С. 2498 - 2498
Опубликована: Сен. 28, 2023
Palmer Amaranth (Amaranthus palmeri, Amaranthaceae) is one of the most competitive, troublesome, and noxious weeds causing significant yield reductions in various crops. A. palmeri was also a herbicide-resistant weed serious eco-environmental problem. Given that process invasion dynamic, plamer may already be quite severe where invasive species management surveys are chronically lacking. Predicting potential habitat can help to develop effective measures for early warning long-term detection. However, history distribution patterns China remain largely unknown. Here, from 1985 2022 were reconstructed, then geographical predicted under current future climate scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5) using optimal MaxEnt model (V 3.4.4) ArcGIS 10.8.2. The mean AUC values 0.967. Under conditions, suitable areas reached 1,067,000 km2 mainly distributed north central China. scenarios, highly habitats Beijing, Tianjin, Hebei. SSP2–4.5, will reach maximum expand 1,411,100 2060s. centroid would northwestward extend scenarios. human footprint index, temperature warmest quarter (Bio_10), April wind speed (Wind_4), seasonality (standard deviation × 100) (bio_4), topsoil gravel content (T_gravel), precipitation (Bio_18) key environmental variables affecting growth palmeri. Climate change increase risk expanding high latitudes. Our results developing strategies warning, prevention, control,
Язык: Английский
Процитировано
6Environmental Research, Год журнала: 2024, Номер 248, С. 118407 - 118407
Опубликована: Фев. 2, 2024
Язык: Английский
Процитировано
2Sustainability, Год журнала: 2023, Номер 15(18), С. 13714 - 13714
Опубликована: Сен. 14, 2023
The Philippines’ real estate (RE) market vis à its government’s collective efforts to accelerate digital transformation faces prevalent illegal RE practices online on top of limited publicly accessible data for decision-making and decentralized highly regional markets. As the middle-income millennials’ Gen Zs’ purchasing power rises, these increasingly important consumer groups might fall prey colorums or make bad investment decisions. In anticipation big data, ML, AI becoming integral Philippine industry, this study extends theory planned behavior model account practice build a theoretical basis foundational models. A total 400 Filipinos aged 15 42 from different regions in country responded self-administered survey questionnaire. was assessed using partial least squares structural equation modeling (PLS-SEM) proven be sufficient explain proposed model. Results revealed that during inflation, risk tolerance (RT), perceived property value (PPV), aversion (IP) significantly influence intention invest market, implying they would consider prioritizing profitability at expense sustainability. Thus, commitment provide transparent real-time KPIs projects is necessary safer optimized operations while ensuring sustainability current future projects.
Язык: Английский
Процитировано
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