Climate change poses an extreme threat to biodiversity, making it imperative to efficiently model species' habitats, movements, and ranges for effective conservation planning. The availability of large-scale remote sensing images and environmental data ...

With the rapid increase in publicly available satellite data with high-resolution, so did the demand on interactive visualization of this data on a web map. This data is often high-resolution, with up-to daily three-meter resolution data, and multi-...

The geospatial domain increasingly relies on data-driven methodologies to extract actionable insights from the growing volume of available data. Despite the effectiveness of tree-based models in capturing complex relationships between features and ...

In recent years, the development of mobile application services and geographic positioning technology has promoted the rapid growth of spatio-textual data. Boolean Range Query (BRQ) can return all objects containing all query keywords within the ...

The proliferation of mobile phones and location-based services has given rise to an explosive growth in spatial data. To enable spatial data analytics, spatial data needs to be streamed into a data stream warehouse system that can provide real-time ...

The construction of systems supporting spatial data has experienced great enthusiasm in the past, due to the richness of this type of data and their semantics, which can be used in the decision-making process in various fields. Thus, ...

• Limitations of Data Warehouses and Data Lakes for Spatial Big Data.
• ...

Due to the high availability of location-based sensors like GPS, it has been possible to collect large amounts of spatio-temporal data in the form of trajectories, each of which is a sequence of spatial locations that a moving object occupies in ...$\mathrm{}$

With the increasing rise of distributed system technologies, one of the most pressing problems facing the digital world is ensuring the security of sensitive and confidential data during transport and storage, which is also regarded as one of the ...

Geometric range query is a general query algorithm over spatial data and applies to many real-world applications, such as location-based services. Considering the sensitivity of location information, how to guarantee the confidentiality of the ...

In this paper, linear spatial autoregressive (SAR) models with covariate measurement errors are studied. A three-stage least squares (3SLS) estimation method both with Berkson’s and classical types of instrumental variables is proposed ...

In various applications with large spatial regions, the relationship between the response variable and the covariates is expected to exhibit complex spatial patterns. We propose a spatially clustered varying coefficient model, where ...

Local differential privacy (LDP), which has been applied in Google Chrome and Apple iOS, provides strong privacy assurance to users when collecting data from users. We focus on the sensitive spatial data collection, with the goal of obtaining high ...

Spatial area determination problem is defined herein as an optimization problem in which it is required to determine both the location and shape of a spatial area, given some constraints on the area (e.g., size) while maximizing or ...

Learned bloom filter (LBF) model has been proposed in recent work to replace the traditional bloom filter (BF). It can reduce the needed amount of memory and achieve a relatively low false positive rate (FPR). However, the LBF did not provide a ...

With the increasing utilization of space related data, the demand for spatial big data sharing and trading is growing rapidly, which promotes the emergence of spatial data market. However, in conventional data markets, both data buyers and data ...

We introduce the ReverseSpatial Top-kKeyword (RSK) query, which is defined as: given a query term q, an integer k and a neighborhood size find all the neighborhoods of that size where q is in the top-k most frequent terms among the social posts ...

We review interval-valued fuzzy sets (IVFS) and develop their application for several areas. We show how to aggregate IVFSs and provide information measures to guide the aggregation. An example of the use of IVFS to represent the ...

• Averaging of interval-valued fuzzy sets can decrease uncertainty.
• Merging of ...

• A low powered gyroscope-enabled electronic tracker using LDO converters was fabricated.

Child Location trackers are widely available devices but the ability of these trackers to detect outlying incidents remain untapped. The main goal of this research is to incorporate anomaly detection in wearable child location trackers ...

Spatial data exhibits the property that nearby points are correlated. This also holds for learnt representations across layers, but not for commonly used weight initialization methods. Our theoretical analysis quantifies the learning behavior of ...

• In spatial crowdsourcing system, workers are requested to physically move to particular locations to conduct the assigned tasks.

With the widespread application of smart devices, spatial crowdsourcing (SC) has been extensively integrated into daily life. Task assignment is a crucial issue in SC and has attracted much attention. Most prior studies on task ...