Assessing the role of spatial externalities in the survival of Italian innovative startups
Regional Science Policy &Practice, EarlyView., 2023 Abstract The paper provides novel empirical evidence about the effects of spatial externalities on the survival of innovative startups in Italy. Using geocoded firm‐level data, we build micro‐geographic measures of specialization and diversity that are robust to the modifiable areal unit problem.
Diego Giuliani +4 more
wiley +1 more source
Land, 2020 Soil organic carbon (SOC) is an important indicator of soil quality and directly determines soil fertility. Hence, understanding its spatial distribution and controlling factors is necessary for efficient and sustainable soil nutrient management. In this
Kingsley JOHN +5 more
doaj +1 more source
The application of the geo-accumulation index and geostatistical methods to the assessment of forest soil contamination with heavy metals in the Babia Góra National Park (Poland) [PDF]
Archives of Environmental Protection, 2020 The aim of this study was the application of the geo-accumulation index and geostatistical methods to the assessment of forest soil contamination with heavy metals in the Babia Góra National Park (BGNP).
Stanisław Łyszczarz +2 more
doaj +1 more source
Revista Brasileira de Engenharia Agrícola e Ambiental, 2010 Scientific investigations about crop water requirements are of fundamental importance to the irrigation process. The main objective of this paper is to analyze and to map water requirements of coffee crop in Minas Gerais State, Brazil.
Luis C. de A. Lemos Filho +3 more
doaj +1 more source
SPATIAL VARIABILITY MAPPING OF SUGARCANE QUALITATIVE ATTRIBUTES [PDF]
Engenharia Agrícola, 2019 Spatial variability evaluation of qualitative attributes can be used as an excellent strategy to design forms of intervention that result in better crop profitability for some agricultural crops, for example, sugarcane.
Marcos N. Ferraz +3 more
doaj +1 more source
Investigating the spatial pattern of total selenium concentration in soil surface in Central Iran (case study: Isfahan Province) [PDF]
علوم محیطی, 2020 Introduction: The study of the spatial distribution of heavy metals is very important in land management and planning. The geostatistics theory is used to estimate spatial variables in unmeasured points.
Somayeh Sadr, Zahra Movahedi Rad
doaj +1 more source
ISPRS International Journal of Geo-Information, 2016 Soil moisture (SM) plays a key role in many environmental processes and has a high spatial and temporal variability. Collecting sample SM data through field surveys (e.g., for validation of remote sensing-derived products) can be very expensive and time ...
Saeid Gharechelou +3 more
doaj +1 more source
Assessment of Groundwater Quality Spatial Distribution and Appointment Optimize Network of Shahrkord Plain Aquifer Using Geostatistical Methods [PDF]
پژوهشهای آبخیزداری, 2019 As the most valuable natural resources, protection and management of groundwater is vital. One of the best ways to protect groundwater resources is monitoring groundwater quality spatial variationsand then managing the water resources exploitations and ...
Mehdi Abdollahi Mansourkhani +3 more
doaj +1 more source
Assessment spatial variability of rainfall erosivity factor (Case study: Fars Province) [PDF]
نشریه جغرافیا و برنامهریزی, 2019 Rainfall erosivity factor is the most important factor influencing soil erosion. Various indicators has been developed to quantify it. Selection the appropriate index due to ecological conditions is necessary.
somyyeh Soltanei +2 more
doaj
Geostatistical Spatio-Time model of crime in el Salvador: Structural and Predictive Analysis
Revista de Matemática: Teoría y Aplicaciones, 2011 Today, to study a geospatial and spatio-temporal phenomena requires searching statistical tools that enable the analysis of the dependency of space, time and interactions.
Welman Rosa Alvarado
doaj +1 more source