Spatial analysis Sample Clauses

The 'Spatial analysis' clause defines the procedures and requirements for examining geographic or spatial data within the context of an agreement or project. This clause typically outlines the methods, tools, and data sources to be used for analyzing spatial relationships, such as mapping property boundaries, assessing land use, or evaluating environmental impacts. By specifying these standards, the clause ensures that all parties use consistent and reliable spatial data, thereby reducing disputes and supporting informed decision-making based on accurate geographic information.
Spatial analysis. Knowing that the biomass valued on the assessment is from semi-natural grasslands of Matsalu National Park (floodplain ▇▇▇▇▇▇▇) we attributed the value to the ecosystem type class Northern Boreal alluvial ▇▇▇▇▇▇▇ (Natura 2000 habitat code: 6450) in the region with an area of 5162.93 ha. It gave us the value 9.83 €/ha for the service provisioning area. According to GVA method the contribution of the ecosystem per hectare in the service provisioning area was estimated as 8.93 €/ha. Visualization of the service provisioning areas and value of bioenergy ecosystem service of Estonian grasslands can be seen in Figure 4.
View Source
Spatial analysis. The distribution of the ecosystem service value of recreational hunting was approached similarly to the provisioning of game/hunting. We used top-down approach for calculating the ecosystem service value for different ecosystem types as it was difficult to distinguish which ecosystem type provides the service as different game species roam in a wide area and often prefer mosaic landscape where different ecosystem types are present as a habitat. First we calculated the value of the hunting service for the whole country by hunting districts. Then by overlaying the ecosystem unit map and hunting district map (does not cover 100% of the area of Estonia, excluding settlements for example) we obtained the share (in area units) of each ecosystem type in the hunting district. Including all natural and vegetated ecosystems (excluding waterbodies, rocky slopes and artificial landscapes), we divided the service value per hunting district between ecosystem types according to the area of ecosystem type (service value per hunting district*area of the ecosystem type/area of all ecosystem types present in the hunting district). From the spatial analyses (overlaying) obtained dataset of ecosystem service values for ecosystem types it was possible to derive the values of the ecosystem service of recreational hunting for different grassland types which are shown in Table 35. The contribution of the grassland ecosystems to the hunting ecosystem service is 2.2 million €/year of which 1.1 million €/year is provided by semi-natural grasslands. Visualization of the service provisioning areas and values of hunting ecosystem service of Estonian grasslands can be seen in Figure 10. Boreal baltic coastal ▇▇▇▇▇▇▇ 110 982 Fixed coastal dunes with herbaceous vegetation (“grey dunes”) 1 460 Dry sand heaths with Calluna and Empetrum nigrum 220 Inland dunes with open Corynephorus and Agrostis 122 European dry heaths 2 095 Juniperus communis formations on heaths or calcareous grasslands 24 256 Xeric sand calcareous grasslands 166 Calaminarian grasslands of the Violetaliacalaminariae 2 Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco-Brometalia) (* important orchid sites) 28 434 Fennoscandian lowland species-rich dry to mesic grasslands 24 326 Nordic alvar and precambrian calcareous flatrocks 97 956 Molinia ▇▇▇▇▇▇▇ on calcareous, peaty or clayey-silt-laden soils (Molinion caeruleae) 15 350 Hydrophilous tall herb fringe communities of plains and of the montan...
View Source
Spatial analysis. It is problematic to distinguish which ecosystem type provides the service as different game species roam in a wide area and often prefer mosaic landscape where different ecosystem types are present. Therefore, in the current assessment the service value for different ecosystem types was calculated using top-down approach. First we calculated the value for the whole country by hunting districts. Then by merging the ecosystem unit map and hunting district map, we obtained the share (in area units) of each ecosystem type in the hunting district. Including all natural and vegetated ecosystems (excluding waterbodies, rocky slopes and artificial landscapes), we divided the service value per hunting district between ecosystem types according to the area of ecosystem type (service value per hunting district*area of the ecosystem type/area of all ecosystem types present in the hunting district). From the obtained dataset of ecosystem service values for ecosystem types it was possible to derive the values of the ecosystem service of providing game for grasslands which are shown in Table 19. The contribution of the grassland ecosystems to the ecosystem service is 1.2 million €/year of which 557 thousand €/year is provided by semi-natural grasslands.
View Source
Spatial analysis. The calculated monetary value of the ecosystem service of providing medicinal herbs was distributed among grassland types depending on the habitat requirements of the plant species. If several grassland types were suitable habitat for the species then the contribution of the ecosystem type was calculated by weighting the area of the grassland type to all contributing grasslands. The average unit value of providing medicinal herbs for grasslands was calculated to be 0.08 €/ha. The values of the ecosystem service of providing medicinal herbs by grassland ecosystem types is shown in Table 21. Boreal baltic coastal ▇▇▇▇▇▇▇ 0.140 16716 Fixed coastal dunes with herbaceous vegetation (“grey dunes”) 0.110 87 Inland dunes with open Corynephorus and Agrostis 0.167 18 Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco-Brometalia) (* important orchid sites) 0.099 9010 Fennoscandian lowland species-rich dry to mesic grasslands 0.056 3085 Nordic alvar and precambrian calcareous flatrocks 0.085 11117 Molinia ▇▇▇▇▇▇▇ on calcareous, peaty or clayey-silt-laden soils (Molinion caeruleae) 0.035 392 Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels 0.035 386 Northern boreal alluvial ▇▇▇▇▇▇▇ 0.035 2737 Lowland hay ▇▇▇▇▇▇▇ (Alopecurus pratensis, Sanguisorba officinalis) 0.198 3169 Fennoscandian wooded ▇▇▇▇▇▇▇ 0.099 6002 Fennoscandian wooded pastures 0.138 2053 Environmental sensitive permanent grassland 0.029 144 Environmental non-sensitive permanent grassland 0.029 66348 Other natural grassland 0.040 69769 Visualization of the service provisioning areas and values of provisioning medicinal herbs as ecosystem service of Estonian grasslands can be seen in Figure 6.
View Source
Spatial analysis. The monetary values of grassland carbon storage by different type of grasslands are given in Table 23. These values were obtained by first overlaying the map of grassland types with the map layer of soil types in Estonia. The carbon storage value of grassland type depends on whether it is on organic or mineral soil. The greatest value of carbon storage, over € 17 million, was found in cultivated grasslands which are on organic soils. For semi-natural grasslands, the most valuable is unclassified “grassland” class on organic soils (6 million €). For the semi-natural grasslands which are situated on Natura sites, the highest carbon storage value,
View Source

Related to Spatial analysis

  • Risk Analysis The Custodian will provide the Fund with a Risk Analysis with respect to Securities Depositories operating in the countries listed in Appendix B. If the Custodian is unable to provide a Risk Analysis with respect to a particular Securities Depository, it will notify the Fund. If a new Securities Depository commences operation in one of the Appendix B countries, the Custodian will provide the Fund with a Risk Analysis in a reasonably practicable time after such Securities Depository becomes operational. If a new country is added to Appendix B, the Custodian will provide the Fund with a Risk Analysis with respect to each Securities Depository in that country within a reasonably practicable time after the addition of the country to Appendix B.

  • Escrow Analysis If applicable, with respect to each Mortgage Loan, the Seller has within the last twelve months (unless such Mortgage was originated within such twelve month period) analyzed the required Escrow Payments for each Mortgage and adjusted the amount of such payments so that, assuming all required payments are timely made, any deficiency will be eliminated on or before the first anniversary of such analysis, or any overage will be refunded to the Mortgagor, in accordance with RESPA and any other applicable law;

  • Sampling and Analysis The sampling and analysis of the coal delivered hereunder shall be performed by Buyer upon delivery of the coal to Buyer’s facility, and the results thereof shall be accepted and used as defining the quality and characteristics of the coal delivered under this Agreement and as the Payment Analysis. All analyses shall be made in Buyer’s laboratory at Buyer’s expense in accordance with ASTM standards where applicable, or industry-accepted standards in other cases. Samples for analyses shall be taken in accordance with ASTM standards or other methods mutually acceptable to both parties. Seller shall transmit its “as loaded” quality analysis to Buyer as soon as possible. Seller’s “as-loaded” quality shall be the Payment Analysis only when Buyer’s sampler and/or scales are inoperable, or if Buyer fails to obtain a sample upon unloading. Seller represents that it is familiar with Buyer’s sampling and analysis practices, and that it finds them to be acceptable. Buyer shall notify Seller in writing of any significant changes in Buyer’s sampling and analysis practices. Any such changes in Buyer’s sampling and analysis practices shall, except for ASTM or industry-accepted changes in practices, provide for no less accuracy than the sampling and analysis practices existing at the tune of the execution of this Agreement, unless the Parties otherwise mutually agree. Each sample taken by Buyer shall be divided into four (4) parts and put into airtight containers, properly labeled and sealed. One (1) part shall be used for analysis by Buyer. One (1) part shall be used by Buyer as a check sample, if Buyer in its sole judgment determines it is necessary. One (1) part shall be retained by Buyer until thirty (30) days after the sample is taken (“Disposal Date”), and shall be delivered to Seller for analysis if Seller so requests before the Disposal Date. One (1) part (the “Referee Sample”) shall be retained by Buyer until the Disposal Date. Seller shall be given copies of all analyses made by Buyer by the fifth (5th) business day of the month following the month of unloading. In addition, Buyer shall send Seller weekly analyses of coal unloaded at Buyer’s facilities. Seller, on reasonable notice to Buyer, shall have the right to have a representative present to observe the sampling and analyses performed by Buyer. Unless Seller requests an analysis of the Referee Sample before the Disposal Date, Buyer’s analysis shall be used to determine the quality of the coal delivered hereunder and shall be the Payment Analysis. The Monthly Weighted Averages of specifications referenced in §6.1 shall be based on the individual Shipment analyses. If any dispute arises with regard to the analysis of any sample before the Disposal Date for such sample, the Referee Sample retained by Buyer shall be submitted for analysis to an independent commercial testing laboratory (“Independent Lab”) mutually chosen by Buyer and Seller. For each coal quality specification in question, if the analysis of the Independent Lab differs by more than the applicable ASTM reproducibility standards, the Independent Lab results will govern, and the prior analysis shall be disregarded. All testing of the Referee Sample by the Independent Lab shall be at requestor’s expense unless the Independent Lab results differ from the original Payment Analysis for any specification by more than the applicable ASTM reproducibility standards as to that specification. In such case, the cost of the analysis made by the Independent Lab shall be borne by the party who provided the original Payment Analysis.

  • Quantitative Analysis Quantitative analysts develop and apply financial models designed to enable equity portfolio managers and fundamental analysts to screen potential and current investments, assess relative risk and enhance performance relative to benchmarks and peers. To the extent that such services are to be provided with respect to any Account which is a registered investment company, Categories 3, 4 and 5 above shall be treated as “investment advisory services” for purposes of Section 5(b) of the Agreement.”

  • Technology Research Analyst Job# 1810 General Characteristics