The traditional linear regression model of mass appraisal is increasingly unable to satisfy the standard of mass appraisal with large data volumes, complex housing characteristics and high accuracy requirements. Therefore, it is essential to utilize the inherent spatial-temporal characteristics of properties to build a more effective and accurate model. In this research, we take Beijing’s core area, a typical urban center, as the study area of modeling for the first time.

Assessment of multiple land use functions promotes both utilization efficiency of land and regional coordination. Different personal and public products and services are offered by various land use types, meaning their functionality varies. Lack of judgment on temporal trends, turning points, or consideration of multi-source indicators like the ecological and air quality index leads to uncertainties in urban multifunctionality evaluation and functional orientation.

The Montado in Portugal and Dehesa in Spain is a unique agro-silvo-pastoral system designed to overcome food needs in a scarce resource’s environment. The system competitiveness is not clear and it is now under severe threats, caused by extensification or abandonment of less fertile areas and by intensification in more fertile ones.

Social media continues to grow, permanently capturing our digital footprint in the form of texts, photographs, and videos, thereby reflecting our daily lives. Therefore, recent studies are increasingly recognising passively crowdsourced geotagged photographs retrieved from location-based social media as suitable data for quantitative mapping and assessment of cultural ecosystem service (CES) flow. In this study, we attempt to improve CES mapping from geotagged photographs by combining natural language processing, i.e., topic modelling and automated machine learning classification.

As the transitional area between urban and rural areas, land-use change in suburbs is drastic, which generates negative effects on the ecological environment. However, the identification of the suburbs remains controversial. Usually, the density of the population and residential land is referenced, and the close spatial interactions between urban areas and suburbs are generally neglected. To fill this research gap, this study adopts a case study method to map the suburbs of Jiangsu based on estimating the spatial interactions.

Professional landscape architecture organizations have requested training from educational institutions based on new skills and methodologies in the curriculum development of students. Landscape architects need to visualize and evaluate the spatial relationships between the different components of the landscape using two-dimensional (2D) or three-dimensional (3D) maps and geospatial information, for which spatial orientation skills are necessary.

The research on wind regimes and the wind protection mechanism of sand-fixing plants has mainly relied on wind tunnel experiments; few observations have been made in the field. At the same time, airflow around individual standing vegetation elements and communities is relatively lacking in alpine semi-arid deserts. Therefore, this paper selected 10-year-old Hippophae rhamnoides (sea buckthorn) on sandy land on the eastern shore of Qinghai Lake as the study object.

Ecotourism has been promoted in many regions of Indonesia as a viable platform for reducing emissions from deforestation and forest degradation in developing countries (REDD+) by providing incentives to local communities for their forest conservation efforts. This study aims to find opportunities for implementing REDD+ in Bali through ecotourism market segmentation analysis, and to provide policy implications to other developing countries under similar circumstances.

This article presents an analysis of the complexities implied by the implementation of the Colombian land restitution policy, as an example of the way in which the state works in its day-to-day practice. The document highlights the role played by the bureaucracy of “land” in the management of the so-called post-conflict setting. It is constructive in showing the multiscale nature of the state, whose operation cannot be understood outside the various levels and scales that compose it.

Given the diversity of active institutions and stakeholders in a landscape, and the difficulties in ensuring inclusive decision-making, evaluating landscape governance can help surface and address underlying issues. In the context of two protected area landscapes in Uganda, where landscape approaches are being implemented through a wider project on landscape governance, we analyse stakeholder perceptions of inclusive decision-making and then use this evaluation to stimulate dialogue amongst stakeholder groups in each landscape.

Digital soil mapping (DSM) is currently the primary framework for predicting the spatial variation of soil information (soil type or soil properties). Random forests and similarity-based methods have been used widely in DSM. However, the accuracy of the similarity-based approach is limited, and the performance of random forests is affected by the quality of the feature set. The objective of this study was to present a method for soil mapping by integrating the similarity-based approach and the random forests method.

Considering settlement characteristics and population dynamics together over multiple spatio-temporal scales, the present study analyzes the spatial distribution of sparse settlements and population surrounding a large city in Southern Europe (Athens, Greece), in relation with long-term metropolitan growth and recent economic downturns.