A-Xing Zhu
Biographic Data
| ID | 2193743 |
|---|---|
| NAME | A-Xing Zhu |
| GIVEN NAMES | A-Xing |
| FAMILY NAME | Zhu |
| SIGNATURE | ZHU A |
| AFFILIATIONS | University of Wisconsin–Madison |
| ORCID | 0000-0002-5725-0460 |
| VERIFIED | Yes |
| TOTAL WORKS | 20 |
| TOTAL CITATIONS | 24 |
| WORKS AS AUTHOR | 20 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Spatial spillover effects of tourism on economic development across different development levels
Residential segregation assessment based on multi-source data and random forest method
The assessment of urban residential segregation plays a crucial role in guiding equitable governance and fostering healthy urban development. Existing research evaluating residential segregation from the perspective of wealth disparity often struggles to obtain accurate population distribution data across different socio-economic strata, leading to potential biases in the assessment outcomes. However, residential compounds, as the living spaces f…
Laws of Geography?
Geographic principles appear as laws of geography in the literature, either by using the term “law” in naming the principle or the broad scope of the principle encompasses geography as whole. Tobler's First Law and the Second Law of Geography are based on the spatially autocorrelated or dependent nature of geographic variation. The Second Law of Geography emphasizes the aspects of spatial heterogeneity of geographic variation and encompasses the …
Isoline extraction based on a global hexagonal grid
Sustainable utilization of cultivated land resources based on "element coupling-function synergy" analytical framework
Solely focusing on the agricultural production function of cultivated land resources is not conducive to the various demands for meeting the UN's Sustainable Development Goals. Recognizing the multifunctionality of cultivated land and understanding the interrelationships between individual functions are crucial for the rational planning and utilization of resources. This paper introduces an "element coupling-function synergy" analytical framework…
Behind the Silence of the Professional Classroom in Universities
Classroom silence is a negative form of classroom performance that is particularly prominent in the Chinese learner population. Existing research has mainly explored the silence phenomenon among Chinese university students in two types of learning contexts: overseas university classrooms and foreign language classrooms at local universities, without focusing on the Chinese undergraduates' reticence in courses mediated by native language at domest…
Automatic Crater Detection by Training Random Forest Classifiers with Legacy Crater Map and Spatial Structural Information Derived from Digital Terrain Analysis
Detection of craters is important not only for planetary research but also for engineering applications. Although the existing crater detection approaches (CDAs) based on terrain analysis consider the topographic information of craters, they do not take into account the spatial structural information of real craters. In this article, we propose an automatic crater detection approach by training random forest classifiers with data from legacy crat…
Formalizing Parameter Constraints to Support Intelligent Geoprocessing
Intelligent geoprocessing relies heavily on formalized parameter constraints of geoprocessing tools to validate the input data and to further ensure the robustness and reliability of geoprocessing. However, existing methods developed to formalize parameter constraints are either designed based on ill-suited assumptions, which may not correctly identify the invalid parameter inputs situation, or are inefficient to use. This paper proposes a novel …
A learning-based approach to automatically evaluate the quality of sequential color schemes for maps
Color quality evaluation is key to judging map quality, which can improve data visualization and communication. However, most existing methods for evaluating map colors are tedious and subjective manual methods. In this paper, we study sequential color schemes, a widely used map color type and propose a learning-based approach for evaluating the color quality. The approach consists of two steps. First, we extract and characterize the cartographic…
Digital Soil Mapping over Large Areas with Invalid Environmental Covariate Data
Environmental covariates are fundamental inputs of digital soil mapping (DSM) based on the soil–environment relationship. It is normal to have invalid values (or recorded as NoData value) in individual environmental covariates in some regions over an area, especially over a large area. Among the two main existing ways to deal with locations with invalid environmental covariate data in DSM, the location-skipping scheme does not predict these locat…
Blind Digital Watermarking Algorithm against Projection Transformation for Vector Geographic Data
Projection transformation is an important part of geographic analysis in geographic information systems, which are particularly common for vector geographic data. However, achieving resistance to projection transformation attacks on watermarking for vector geographic data is still a challenging task. We proposed a digital watermarking against projection transformation based on feature invariants for vector geographic data in this paper. Firstly, …
Error checking of large land quality databases through data mining based on low frequency associations
The accuracy of databases on land quality, particularly on cultivated land quality, is a prerequisite for land quality assessment and land degradation evaluation. Error checking of land quality databases is an important step in ensuring the accuracy of these land quality databases. The existing methods do not consider the intrinsic relationships among data elements in error checking of land quality databases. This paper explores a new idea for er…
Assessment of soil shear strength in gully systems
Soil erodibility is one of the major parameters for soil erosion prediction and conservation planning. Soil shear strength is an effective indicator of soil erodibility. Although shear strength has been extensively measured on agricultural lands, very limited measurements have been made within gullies. In this study, shear strength was measured at various geomorphic positions of gullies, in different types of deposits and gullies, as well as in i…
Scenario farmland protection zoning based on production potential
Automated and semi-automated map georeferencing
Historical maps contain a wealth of information not generally available, but they must be referenced to well-known coordinate systems for maximum use in spatial analysis. Existing georeferencing tools are essentially manual, requiring considerable data entry, much panning and zooming, and precise on-screen digitizing. Here we present alternative approaches based on pattern-matching and spatial computing intended to overcome the inefficiencies of …
Land-use decision support in brownfield redevelopment for urban renewal based on crowdsourced data and a presence-and-background learning (PBL) method
Resampling, Raster
Resampling is a process of transferring an existing raster dataset to a new raster dataset of the same data type. Two typical situations will call for resampling. The first is when two raster data layers representing different features are combined but one has a higher resolution than the other. In this case, the raster data layer with a higher resolution needs to be transformed into a data layer with the same resolution as the other. The second …
Artificial Neural Networks
Artificial neural networks (ANN) are a form of computing for predicting a set of outputs from a set of input patterns (a set of variables). This machine learning method is motivated by the functioning of biological neural networks that consist of neurons and links (nerves). The neurons serve as the processing units and links serve as the connections between neurons. A commonly used form of ANN is a multiple‐layer feedforward network in which neur…
An improved map-symbol model to facilitate sharing of heterogeneous qualitative map symbols
Symbol sharing that is facilitated by current technologies is hampered by the incompatibility of current map-symbol models with existing heterogeneous map-symbol resources. After a comparative analysis of the terminology and symbol construction strategies in existing map-symbol models, an improved model is presented to facilitate symbol sharing. The model combines current symbol description methods to enable broad compatibility with heterogeneous…
Knowledge Discovery from Area–Class Resource Maps
This paper presents a knowledge discovery approach to extracting knowledge from area–class resource maps. Prototype theory forms the basis of the approach which consists of two major components: (1) a scheme for organizing knowledge used in categorizing geographic entities which allows for the modeling of indeterminate boundaries and non–uniform memberships within categories; and (2) a data mining method using the Expectation Maximization (EM) al…
Land-use decision support in brownfield redevelopment for urban renewal based on crowdsourced data and a presence-and-background learning (PBL) method
Sustainable utilization of cultivated land resources based on "element coupling-function synergy" analytical framework
Solely focusing on the agricultural production function of cultivated land resources is not conducive to the various demands for meeting the UN's Sustainable Development Goals. Recognizing the multifunctionality of cultivated land and understanding the interrelationships between individual functions are crucial for the rational planning and utilization of resources. This paper introduces an "element coupling-function synergy" analytical framework…
A learning-based approach to automatically evaluate the quality of sequential color schemes for maps
Color quality evaluation is key to judging map quality, which can improve data visualization and communication. However, most existing methods for evaluating map colors are tedious and subjective manual methods. In this paper, we study sequential color schemes, a widely used map color type and propose a learning-based approach for evaluating the color quality. The approach consists of two steps. First, we extract and characterize the cartographic…
Scenario farmland protection zoning based on production potential
Automated and semi-automated map georeferencing
Historical maps contain a wealth of information not generally available, but they must be referenced to well-known coordinate systems for maximum use in spatial analysis. Existing georeferencing tools are essentially manual, requiring considerable data entry, much panning and zooming, and precise on-screen digitizing. Here we present alternative approaches based on pattern-matching and spatial computing intended to overcome the inefficiencies of …
Knowledge Discovery from Area–Class Resource Maps
This paper presents a knowledge discovery approach to extracting knowledge from area–class resource maps. Prototype theory forms the basis of the approach which consists of two major components: (1) a scheme for organizing knowledge used in categorizing geographic entities which allows for the modeling of indeterminate boundaries and non–uniform memberships within categories; and (2) a data mining method using the Expectation Maximization (EM) al…
Knowledge Discovery from Area–Class Resource Maps
This paper presents a knowledge discovery approach to extracting knowledge from area–class resource maps. Prototype theory forms the basis of the approach which consists of two major components: (1) a scheme for organizing knowledge used in categorizing geographic entities which allows for the modeling of indeterminate boundaries and non–uniform memberships within categories; and (2) a data mining method using the Expectation Maximization (EM) al…
An improved map-symbol model to facilitate sharing of heterogeneous qualitative map symbols
Symbol sharing that is facilitated by current technologies is hampered by the incompatibility of current map-symbol models with existing heterogeneous map-symbol resources. After a comparative analysis of the terminology and symbol construction strategies in existing map-symbol models, an improved model is presented to facilitate symbol sharing. The model combines current symbol description methods to enable broad compatibility with heterogeneous…
Resampling, Raster
Resampling is a process of transferring an existing raster dataset to a new raster dataset of the same data type. Two typical situations will call for resampling. The first is when two raster data layers representing different features are combined but one has a higher resolution than the other. In this case, the raster data layer with a higher resolution needs to be transformed into a data layer with the same resolution as the other. The second …
Artificial Neural Networks
Artificial neural networks (ANN) are a form of computing for predicting a set of outputs from a set of input patterns (a set of variables). This machine learning method is motivated by the functioning of biological neural networks that consist of neurons and links (nerves). The neurons serve as the processing units and links serve as the connections between neurons. A commonly used form of ANN is a multiple‐layer feedforward network in which neur…
Automated and semi-automated map georeferencing
Historical maps contain a wealth of information not generally available, but they must be referenced to well-known coordinate systems for maximum use in spatial analysis. Existing georeferencing tools are essentially manual, requiring considerable data entry, much panning and zooming, and precise on-screen digitizing. Here we present alternative approaches based on pattern-matching and spatial computing intended to overcome the inefficiencies of …
Land-use decision support in brownfield redevelopment for urban renewal based on crowdsourced data and a presence-and-background learning (PBL) method
Digital Soil Mapping over Large Areas with Invalid Environmental Covariate Data
Environmental covariates are fundamental inputs of digital soil mapping (DSM) based on the soil–environment relationship. It is normal to have invalid values (or recorded as NoData value) in individual environmental covariates in some regions over an area, especially over a large area. Among the two main existing ways to deal with locations with invalid environmental covariate data in DSM, the location-skipping scheme does not predict these locat…
Blind Digital Watermarking Algorithm against Projection Transformation for Vector Geographic Data
Projection transformation is an important part of geographic analysis in geographic information systems, which are particularly common for vector geographic data. However, achieving resistance to projection transformation attacks on watermarking for vector geographic data is still a challenging task. We proposed a digital watermarking against projection transformation based on feature invariants for vector geographic data in this paper. Firstly, …
Error checking of large land quality databases through data mining based on low frequency associations
The accuracy of databases on land quality, particularly on cultivated land quality, is a prerequisite for land quality assessment and land degradation evaluation. Error checking of land quality databases is an important step in ensuring the accuracy of these land quality databases. The existing methods do not consider the intrinsic relationships among data elements in error checking of land quality databases. This paper explores a new idea for er…
Assessment of soil shear strength in gully systems
Soil erodibility is one of the major parameters for soil erosion prediction and conservation planning. Soil shear strength is an effective indicator of soil erodibility. Although shear strength has been extensively measured on agricultural lands, very limited measurements have been made within gullies. In this study, shear strength was measured at various geomorphic positions of gullies, in different types of deposits and gullies, as well as in i…
Scenario farmland protection zoning based on production potential
Formalizing Parameter Constraints to Support Intelligent Geoprocessing
Intelligent geoprocessing relies heavily on formalized parameter constraints of geoprocessing tools to validate the input data and to further ensure the robustness and reliability of geoprocessing. However, existing methods developed to formalize parameter constraints are either designed based on ill-suited assumptions, which may not correctly identify the invalid parameter inputs situation, or are inefficient to use. This paper proposes a novel …
A learning-based approach to automatically evaluate the quality of sequential color schemes for maps
Color quality evaluation is key to judging map quality, which can improve data visualization and communication. However, most existing methods for evaluating map colors are tedious and subjective manual methods. In this paper, we study sequential color schemes, a widely used map color type and propose a learning-based approach for evaluating the color quality. The approach consists of two steps. First, we extract and characterize the cartographic…
Behind the Silence of the Professional Classroom in Universities
Classroom silence is a negative form of classroom performance that is particularly prominent in the Chinese learner population. Existing research has mainly explored the silence phenomenon among Chinese university students in two types of learning contexts: overseas university classrooms and foreign language classrooms at local universities, without focusing on the Chinese undergraduates' reticence in courses mediated by native language at domest…
Automatic Crater Detection by Training Random Forest Classifiers with Legacy Crater Map and Spatial Structural Information Derived from Digital Terrain Analysis
Detection of craters is important not only for planetary research but also for engineering applications. Although the existing crater detection approaches (CDAs) based on terrain analysis consider the topographic information of craters, they do not take into account the spatial structural information of real craters. In this article, we propose an automatic crater detection approach by training random forest classifiers with data from legacy crat…
Laws of Geography?
Geographic principles appear as laws of geography in the literature, either by using the term “law” in naming the principle or the broad scope of the principle encompasses geography as whole. Tobler's First Law and the Second Law of Geography are based on the spatially autocorrelated or dependent nature of geographic variation. The Second Law of Geography emphasizes the aspects of spatial heterogeneity of geographic variation and encompasses the …
Isoline extraction based on a global hexagonal grid
Sustainable utilization of cultivated land resources based on "element coupling-function synergy" analytical framework
Solely focusing on the agricultural production function of cultivated land resources is not conducive to the various demands for meeting the UN's Sustainable Development Goals. Recognizing the multifunctionality of cultivated land and understanding the interrelationships between individual functions are crucial for the rational planning and utilization of resources. This paper introduces an "element coupling-function synergy" analytical framework…
Spatial spillover effects of tourism on economic development across different development levels
Residential segregation assessment based on multi-source data and random forest method
The assessment of urban residential segregation plays a crucial role in guiding equitable governance and fostering healthy urban development. Existing research evaluating residential segregation from the perspective of wealth disparity often struggles to obtain accurate population distribution data across different socio-economic strata, leading to potential biases in the assessment outcomes. However, residential compounds, as the living spaces f…
Computer Science (13 works) · Geography (8 works) · Artificial Intelligence (5 works) · Data mining (5 works) · Engineering (5 works) · Geographic Information Systems Studies (5 works) · Mathematics (5 works) · Cartography (4 works) · China (4 works) · Computer vision (4 works)